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Conference 13062
Sensors and Systems for Space Applications XVII
23 - 25 April 2024 | National Harbor 8
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Symposium Plenary
22 April 2024 • 5:00 PM - 6:30 PM EDT | Potomac A
Session Chairs:
Tien Pham, The MITRE Corp. (United States), Douglas R. Droege, L3Harris Technologies, Inc. (United States)
View Full Details: spie.org/dcs/symposium-plenary
Chair welcome and introduction
22 April 2024 • 5:00 PM - 5:05 PM EDT
DoD's microelectronics for the defense and commercial sensing ecosystem (Plenary Presentation)
Presenter(s): Dev Shenoy, Principal Director for Microelectronics, Office of the Under Secretary of Defense for Research and Engineering (United States)
22 April 2024 • 5:05 PM - 5:45 PM EDT
NATO DIANA: a case study for reimagining defence innovation (Plenary Presentation)
Presenter(s): Deeph Chana, Managing Director, NATO Defence Innovation Accelerator for the North Atlantic (DIANA) (United Kingdom)
22 April 2024 • 5:50 PM - 6:30 PM EDT
Symposium Panel on Microelectronics Commercial Crossover
23 April 2024 • 8:30 AM - 10:00 AM EDT | Potomac A
View Full Details: spie.org/dcs/symposium-panel
The CHIPS Act Microelectronics Commons network is accelerating the pace of microelectronics technology development in the U.S. This panel discussion will explore opportunities for crossover from commercial technology into DoD systems and applications, discussing what emerging commercial microelectronics technologies could be most impactful on photonics and sensors and how the DoD might best leverage commercial innovations in microelectronics.
Moderator:
John Pellegrino, Electro-Optical Systems Lab., Georgia Tech Research Institute (retired) (United States)
Panelists:
Shamik Das, The MITRE Corporation (United States)
Erin Gawron-Hyla, OUSD (R&E) (United States)
Carl McCants, Defense Advanced Research Projects Agency (United States)
Kyle Squires, Ira A. Fulton Schools of Engineering, Arizona State Univ. (United States)
Anil Rao, Intel Corporation (United States)
Session 1:
Spectral Sensing for Space Situational Awareness: Joint Session with Conferences 13031 and 13062
23 April 2024 • 4:00 PM - 5:00 PM EDT | Potomac 1
Session Chairs:
Miguel Velez-Reyes, The Univ. of Texas at El Paso (United States), Jeremy Murray-Krezan
13062-1
23 April 2024 • 4:00 PM - 4:20 PM EDT | Potomac 1
Show Abstract +
Upcoming space missions are expected to go farther from Earth and be more autonomous and self-sufficient. Most man-made satellites are controlled from Earth-based ground stations that also perform guidance and navigation functions. Onboard star trackers and GPS units are commonplace on satellites and part of the guidance, navigation, and control systems, permitting in situ measurement and update to the guidance solution. However, neither of these approaches will work in deep space. We explore characteristics of a generation-after-next satellite-navigational sensor concept where, using optical or infrared spectral measurements in addition to the typical techniques of astrometry for locating stars, onboard autonomous computation of a navigational solution is possible. Spectral measurements allow estimation of stellar velocities in addition to relative locations. We hypothesize that recent space missions have generated the star catalogs, with both position and velocity measurements, necessary to anchor measurements of the new conceptual sensor. The spectral and pointing specifications of next-generation satellite navigation sensors are investigated.
13031-13
23 April 2024 • 4:20 PM - 4:40 PM EDT | Potomac 1
Show Abstract +
This paper presents the main features of the SIRIUS (Simulateur InteRactif d’Images Ultra Spectrales) simulation tool suitable for modeling the optical signature of resident space objects from visible to the infrared spectrum. It will highlight its capabilities by comparing the simulation results with ENVISAT images taken at the Côte d'Azur observatory (France). The radiometric calculation is carried out using a global illumination method on GPU, in order to combine performance and accuracy. The surrounding environment is composed of the Earth, the atmosphere, the clouds and the Sun. Reflection is calculated using typical spectral reflectivity functions (sBRDF) for each material with physical modelling of geometry wrinkling for MLI materials. The results of the simulation are spectral images at the sensor position, and the effects of turbulence and the sensor are modeled using a Point Spread Function (PSF model).
13031-14
23 April 2024 • 4:40 PM - 5:00 PM EDT | Potomac 1
Show Abstract +
In this work we produce machine learning models for satellite classification using unresolved hyperspectral imagery. In practice, the expectation is to have more unlabeled than labeled samples and the proposed classifier leverages the concept of Semi-Supervised machine learning. The network architecture uses both image reconstruction via a Convolutional AutoEncoder (CAE) and Multi-layer Perceptron (MLP) for classification. The CAE can be trained on labeled and unlabeled data, while the MLP requires labeled data for training. The newly developed classification models achieve a mean validation accuracy of 84% and a mean testing accuracy of 82%, utilizing 10-fold cross-validation. Additionally, the decoder achieves low image reconstruction error with a mean test error of 0.008, measured by Mean Squared Error, over the cross-validation folds. This network architecture demonstrates the ability to map slitless spectral data for accurate identification of RSO despite the challenges of using a limited-size and unbalanced dataset.
Symposium Plenary on AI/ML + Sustainability
24 April 2024 • 8:30 AM - 10:00 AM EDT | Potomac A
Session Chairs:
Latasha Solomon, DEVCOM Army Research Lab. (United States), Ann Marie Raynal, Sandia National Labs. (United States)
View Full Details: spie.org/dcs/plenary-ai-ml-sustainability
Welcome and opening remarks
24 April 2024 • 8:30 AM - 8:40 AM EDT
Army intelligence data and AI in modern warfare (Plenary Presentation)
Presenter(s): David Pierce, U.S. Army Intelligence (United States)
24 April 2024 • 8:40 AM - 9:20 AM EDT
FUTUR-IC: A three-dimensional optimization path towards building a sustainable microchip industry (Plenary Presentation)
Presenter(s): Anu Agarwal, Massachusetts Institute of Technology, Microphotonics Ctr. and Materials Research Lab. (United States)
24 April 2024 • 9:20 AM - 10:00 AM EDT
Break
Coffee Break 10:00 AM - 10:30 AM
Welcome and Opening Remarks
24 April 2024 • 10:30 AM - 10:40 AM EDT | National Harbor 8
Genshe Chen, Intelligent Fusion Technology, Inc. (United States) and Khanh D. Pham, Air Force Research Lab. (United States)
Session 2:
Sensor and Device for Space Application
24 April 2024 • 10:40 AM - 12:10 PM EDT | National Harbor 8
Session Chairs:
Jesse Brown, Corning Incorporated (United States), Joshua B. Bettinger, G&H Keene (United States)
13062-2
Advances in spaceborne hyperspectral imagery, a comparative study between nano satellites and large satellites
(Invited Paper)
24 April 2024 • 10:40 AM - 11:10 AM EDT | National Harbor 8
Show Abstract +
The space sector's rapid growth, coupled with increased accessibility to space, has led to the popularity of miniaturized satellites known as CubeSats. These cost-effective and agile nanosatellites have gained international recognition in government, education, and private sectors. CubeSats, standardized at 10 cm x 10 cm x 10 cm, come in various sizes (1U, 2U, 3U, and 6U) and are preferred by the GIS/RS community for earth observation capabilities. Sharjah Academy for Astronomy, Space Science and Technology (SAASST) in the UAE has established a CubeSat laboratory, launching the Sharjah-Sat-1 (3U+) and now embarking on the Sharjah-Sat-2 mission. Sharjah-Sat-2 is a 6U CubeSat equipped with an advanced high-definition hyperspectral camera, Hyperscape100, to enhance infrastructure projects and establish an early warning system for environmental phenomena. This paper will discuss advancements in spaceborne hyperspectral imagers, compare nanosatellites to larger satellites, highlight the Sharjah-Sat-2 project, and explore its positive impact on the GIS/RS community.
13062-3
24 April 2024 • 11:10 AM - 11:30 AM EDT | National Harbor 8
Show Abstract +
Corning Inc. has leveraged its industry leading space based hyperspectral technology to create an advanced Low Earth Orbit (LEO) Satellite Payload. We outline the specifications, performance, and capabilities of this new standard in LEO Hyperspectral Imaging (HSI).
13062-4
24 April 2024 • 11:30 AM - 11:50 AM EDT | National Harbor 8
Show Abstract +
Optical systems are frequently used in non-laboratory environments. Extra-orbit launch accelerations, gunfire vibrations, and temperature fluctuations can put dangerous stresses on lenses. In addition to general mechanical ruggedization, Kapton® tape was added to optical surfaces as a go-between for the glass/crystal and the metal structure components. The thought behind this was that using a softer surface interface would act as a sort of cushion for the optics. Kapton® tape has a CTE nearly matching that of Aluminum 6061-T6 and has an effective temperature range of -269ºC to 400ºC, which makes it an ideal material for use in systems both at or outside of room temperature values. Hand calculations formulated from equations postulated by experts Paul Yoder and R.J. Roark were used in conjunction with Finite Element Analysis via ANSYS. Practical examples used in the field were cited as well.
13062-5
24 April 2024 • 11:50 AM - 12:10 PM EDT | National Harbor 8
Show Abstract +
Applications such as lidar, ranging/ sensing, and optical communications all require photonic components, such as sources, detectors, and modulators, to be integrated into a single system. For spaceborne applications, SWaP is a key consideration: a monolithic indium phosphide photonic integrated circuit (PIC) can integrate many components onto a chip with a footprint of a few square mm. Photonic wirebonding (PWB) enables seamless integration of best-in-class optical devices from disparate materials. Connecting and mode-matching different photonic components enables versatility and functionality unachievable by other methods, facilitating co-packaging.
PICs and PWBs do not yet have spaceflight heritage: demonstrating technological readiness is a key step toward use in orbital and spaceborne missions. Freedom Photonics presents our first hermetic photonic wirebonded PIC package, alongside recent environmental testing results demonstrating that our PIC and PWB technologies are suitable for the harsh conditions of launch and spaceflight: shock, vibration, radiation, temperature cycling, and offgassing measurements.
Break
Lunch/Exhibition Break 12:10 PM - 1:40 PM
Session 3:
Optical Communication and System
24 April 2024 • 1:40 PM - 2:20 PM EDT | National Harbor 8
Session Chair:
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)
13062-8
24 April 2024 • 1:40 PM - 2:00 PM EDT | National Harbor 8
Show Abstract +
We present a Balanced InGaAs Photoreceiver, i.e. a matched pair of photodiodes followed by a differential Silicon CMOS TIA, with automatic gain control mode that supports coherent and direct detection optical communication links with a symbol rate up to 25 Gbaud and aggregate data rate up to 100 Gbps. These devices were subjected to 76 MeV/n, 96 MeV/n, and 154 MeV/n Bismuth Ions up to a fluence of 1E7 ions/cm^2 for each ion energy. The three Bismuth beams were all produced using Bi @ 211 MeV/n and degraded with polyethylene to achieve 154, 96, and 76 MeV/n using 3.9, 7.1 and 8.0 mm of degrader respectively. The ion energies were chosen with the objective of achieving LET-Si up to 70 MeV-cm^2/mg. During the radiation runs, the TIAs were biased and their drive currents and RF output noise spectra were continuously recorded. The in-situ data was complemented by detailed analog and digital characterization of these devices before and after irradiation. We did not observe any significant impact on these devices due to radiation.
13062-9
CANCELED: Laser-induced diffusion of boron and gallium in silicon carbide for refractive index modulation
24 April 2024 • 2:00 PM - 2:20 PM EDT | National Harbor 8
Show Abstract +
This study focuses on laser doping of 4H-SiC semiconductor substrates at ambient temperature with two distinct p-type dopants, boron (B) and gallium (Ga), to modify their mid-wave infrared (MWIR) optical properties for sensor applications. We employed a novel method using a pulsed Nd:YAG (λ = 1064 nm) laser to introduce B and Ga dopant atoms into c-SiC by laser-assisted selective-area doping, using boric acid and gallium nitrate as precursors. The influence of boron and gallium doping on the optical properties of the substrates i.e., transmittance, reflectance, absorptance, absorption index, and refraction index within the MWIR range was assessed using FTIR spectrometry. Both dopants established an acceptor energy level at 0.29 eV within the 4H-SiC bandgap, corresponding to a wavelength of 4.3 µm. This led to selective absorption of photons at this specific wavelength by the doped 4H-SiC substrates, resulting in a noticeable alteration in the refractive index. To enhance the efficiency of the laser doping process, a comprehensive theoretical model was developed, and the changes in refractive index induced by these two dopants were compared.
Session 4:
Space Domain Awareness and Navigation
24 April 2024 • 2:20 PM - 5:00 PM EDT | National Harbor 8
Session Chairs:
Ahmed Elaksher, New Mexico State Univ. (United States), Yajie Bao, Intelligent Fusion Technology, Inc. (United States)
13062-10
Advanced motion estimations and predictions of a tumbling, non-cooperative space object during long-term occlusion
(Invited Paper)
24 April 2024 • 2:20 PM - 2:50 PM EDT | National Harbor 8
Show Abstract +
This study aims to improve the rotational motion and inertia parameters estimation performance of an Unscented Kalman Filter model (UKF) for a torque-free tumbling non-cooperative space object using the Gaussian Process (GP). The traditional UKF algorithm which is a physics-based estimation algorithm for non-linear systems is susceptible to the physical process, measurement sampling rate, and filter design. Consequently, slight inaccuracy in the assumed physical models, low sampling rates, or small variations of the filter parameters can result in poor estimation performance. Additionally, the UKF model might not predict the motion and inertia parameters with good accuracy in the absence of sensor measurements, also known as occlusion, a quite common challenge for space missions. To make a UKF model more robust to the factors above, we utilize multi-output GP models with periodic kernels to make long-term predictions of the position and attitude measurements obtained from a Laser Camera System (LCS). These measurement predictions from GP models are used as the sensor measurements for the UKF model.
13062-11
24 April 2024 • 2:50 PM - 3:10 PM EDT | National Harbor 8
Show Abstract +
Shadow imaging has been used for decades in astronomical observation of distant space objects. Synthetic Aperture Silhouette Imaging applies this technology to space domain awareness to enable fine resolution silhouette images of satellites in the geosynchronous (GEO) belt to be collected with a linear array of hobby telescopes. As a satellite passes between a star and the observer on the ground, a North-South telescope array can detect the reduced stellar intensity as the shadow of the satellite passes over from West to East. This paper discusses the resolution advantages of collecting and stacking shadow images at multiple wavelengths to arrive at a multispectral improvement factor. A laboratory model is scaled to GEO according to the Fresnel diffraction integral before the silhouette is recovered through a phase retrieval algorithm. The recovered silhouettes are stacked and evaluated against the image of the original laboratory target to determine how closely the images match.
Coffee Break 3:10 PM - 3:40 PM
13062-12
Demonstration of the frequency and correlation behavior of a forward scatter baseline crossing event
24 April 2024 • 3:40 PM - 4:00 PM EDT | National Harbor 8
Show Abstract +
With the ever-increasing number of satellites orbiting the Earth for the purposes of communication and research, a significant emphasis is placed on space domain awareness (SDA). The orbital environment contains millions of bodies that can endanger the operation and existence of satellites. As a result, companies and governments around the world have built several massive radar arrays tasked with detecting, tracking, and cataloguing tens of thousands of resident space objects (RSOs). A cost-, size-, and spectrum-effective method to achieve space debris tracking is to use passive forward scatter radar. In this radar configuration, target baseline crossing events produce special phenomena in the time- and frequency- domains which may be used for unique target identification. Experimental demonstrations of these effects are explored in this paper.
13062-13
24 April 2024 • 4:00 PM - 4:20 PM EDT | National Harbor 8
Show Abstract +
Single-frequency GNSS users are reliant on estimates of the total electron content (TEC) along lines of sight to navigation satellites to correct for ionospheric propagation delay and the resulting positioning errors. The parametric correction methods in use (Klobuchar’s algorithm for GPS and the NeQuick-G model for Galileo) can compensate for a large fraction of the delay, but are hindered by using only a few daily coefficients to describe the ground truth ionosphere state. This loss of state information is particularly detrimental during periods of high deviation from baseline TEC patterns, e.g. solar weather events. This work describes an autoregressive recurrent/convolutional neural network approach for spatiotemporal TEC forecasting from windowed historical map products, preserving local temporal and geospatial dependence between samples. By leveraging a large dataset spanning from 2000-2020 and applying convolutional transformations over both the temporal and spatial dimensions of the data, this model exhibits improved performance for time horizons up to 48 hours, compared to neural network-based approaches described in the literature to date.
13062-14
24 April 2024 • 4:20 PM - 4:40 PM EDT | National Harbor 8
Show Abstract +
In this research, we generate a generic push-broom sensor model to process imageries acquired through linear array cameras and investigate its performance, advantages, and disadvantages in generating topographic models for the Earth, Mars and the Moon. We also compare and contrast the utilization, effectiveness, and applicability of available photogrammetric techniques and softcopies with the developed model.
13062-15
24 April 2024 • 4:40 PM - 5:00 PM EDT | National Harbor 8
Show Abstract +
The mobility and versatility of unmanned aerial systems (UASs) make them valuable platforms in distributed cooperative beamforming (DCB) applications, where high-precision time synchronization and positioning, navigation, and timing (PNT) are required. While the onboard PNT equipment allows UASs to obtain reliable PNT solutions, human presence with supervisory roles (aka human-on-the-loop (HotL)) is almost inevitable in such equipment with automation and multi-level resilience of prevention, response, and recovery functions. This paper employs a meta-model to describe interactions among the human operators and multiple UAS platforms for resilience-aware HotL PNT in the DCB scenario. The roles of UASs and humans in the decision-making process of resilient PNT are clarified. Interaction points where humans should collaborate with UASs are identified to augment the autonomy of the UASs. Moreover, requirements are specified for the interaction points. Simulations of a HotL multi-UAS positioning system demonstrate that the requirements modeling facilitates the design of human-machine teaming, and the human presence enhances the resilience of the positioning system.
Session 5:
AI/ML for Space Application
13062-16
A homogeneous low-resolution face recognition method using correlation features at the edge
(Invited Paper)
25 April 2024 • 8:10 AM - 8:40 AM EDT | National Harbor 8
Show Abstract +
Low-resolution face recognition is still a challenging task in resource-constrained edge computing environments like the Internet of Video Things (IoVT). The correlation Features-based Face Recognition (CoFFaR) method is introduced for a higher accuracy for face recognition. Two data preparation modes are proposed, symmetric and exhaustively arranged, and comparative experimental studies are conducted. The CoFFaR method is optimized by adding constraints that make the feature vector closer to its clustering center, and the method is mathematically demonstrated. The validity of the CoFFaR method is verified and the degree of influence of clustering constraints for feature discrimination is evaluated.
13062-17
CANCELED: A decentralized information fusion-based vehicle classification for accurate EV-to-ICE ratio in smart cities
25 April 2024 • 8:40 AM - 9:00 AM EDT | National Harbor 8
Show Abstract +
Vehicle emissions significantly impact the environment and are among the most concerned contributors to global climate change. Accurate and timely data on the categories of vehicles in a smart city is a compelling need for policymakers. This paper proposes a decentralized, information fusion-based vehicle classification (DIVC) scheme for an accurate ratio between electric vehicles (EV) and regular internal combustion engine (ICE) vehicles in a smart city.
13062-18
25 April 2024 • 9:00 AM - 9:20 AM EDT | National Harbor 8
Show Abstract +
The volume of remote sensing data is experiencing rapid growth, primarily due to the plethora of space and
air platforms equipped with an array of sensors. Due to limited hardware and battery constraints the data
is transmitted back to Earth for processing. The large amounts of data along with security concerns call for
new compression and encryption techniques capable of preserving reconstruction quality while minimizing the
transmission cost of this data back to Earth. This study investigates image compression based on convolutional
variational autoencoders (CVAE), which are capable of substantially reducing the volume of transmitted data
while guaranteeing secure lossy image reconstruction. CVAEs have been demonstrated to outperform conventional
compression methods such as JPEG2000 by a substantial margin on compression benchmark datasets. The
proposed model draws on the strength of the CVAE’s capability to abstract data into highly insightful latent
spaces, and combining it with the utilization of an entropy bottleneck is capable of finding an optimal balance
between compressibility and reconstruction quality. The balance is reached by optimizing over a composite loss
function.
13062-19
25 April 2024 • 9:20 AM - 9:40 AM EDT | National Harbor 8
Show Abstract +
In this paper, we introduce an innovative machine learning-based task-scheduling scheme tailored for Apache Storm. This scheme adopts a data-driven approach to predict task performance and assigns tasks to nodes or workers with the lowest predicted latency. In our design, each node operates a machine learning-based monitoring mechanism. When Storm Master is tasked with scheduling a task, it queries node supervisors to obtain latency predictions from all available supervisors. It continuously tracks critical node/worker data, including latency predictions and available resources. We explored three machine learning models – Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Deep Belief Networks (DBN). Our experiments demonstrated that LSTM achieved the most accurate latency predictions and delivered superior performance. As a result, Apache Storm effectively optimizes its performance by consistently assigning tasks to nodes with the lowest predicted latency.
13062-20
25 April 2024 • 9:40 AM - 10:00 AM EDT | National Harbor 8
Show Abstract +
In this paper, an innovative Robotic Intelligent State Estimation (RISE) methodology has been developed that incorporates a learning-based contact estimation framework for legged robots, obviating the need for external physical contact sensors. This approach integrates multimodal proprioceptive sensory data and further employs a Physics-Informed Neural Network (PINN) in conjunction with an Unscented Kalman Filter (UKF) to enhance the state estimation process. The primary objective of this RISE technique is to not only calibrate the Inertial Measurement Unit (IMU) effectively but also furnish a detailed representation of the robot's dynamic state.
Break
Coffee Break 10:00 AM - 10:30 AM
Session 6:
Remote Sensing and Space Control
25 April 2024 • 10:30 AM - 11:40 AM EDT | National Harbor 8
Session Chairs:
Waleed Hilal, McMaster Univ. (Canada), Alexandre McCafferty-Leroux, McMaster Univ. (Canada)
13062-21
25 April 2024 • 10:30 AM - 11:00 AM EDT | National Harbor 8
Show Abstract +
The advancement of Earth observation satellite research in past decades has demonstrated itself to be productive and increasingly important. Ground stations or other satellites are involved in a satellite’s operation, processing large amounts of data or complex control algorithms. This information and control cycle is enabled through the application of Networked Control Systems (NCS), using a wireless network as the intermediate line of communication between sub-systems. This enables relatively fast data transmittance over long distances and decentralization of navigation and control. This method is however vulnerable to time delay and packet loss, affecting the control performance of a satellite. It is demonstrated in literature that the effects of these NCS properties can be mitigated through various implementations of smart systems into the satellite framework. The following survey discusses methods for improving the robustness of networked satellite systems from a smart systems perspective, providing an advanced foundation for these concepts.
13062-22
25 April 2024 • 11:00 AM - 11:20 AM EDT | National Harbor 8
Show Abstract +
The Kalman Filter (KF) and its nonlinear variations (EKF, UKF, etc.) are optimal state estimation strategies commonly applied in most dynamic systems, including satellites. However, in the presence of aforementioned uncertainties, these optimal estimators tend to fail, and must be replaced for more robust methods. The newly developed sliding-innovation filter (SIF) is one such candidate, as it has been demonstrated to perform state estimation robustly in faulty systems. Using an in-lab Nanosatellite Attitude Control Simulator (NACS), an adaptive hybrid of the SIF and KF is applied to a satellite system to detect faults and disturbances in experiments, based on the normalized innovation squares (NIS) metric.
13062-23
25 April 2024 • 11:20 AM - 11:40 AM EDT | National Harbor 8
Show Abstract +
The prevalence of satellite technology in the modern age is undeniable and growing. A satellite’s attitude determination and control system (ADCS) must be able to operate accurately and robustly against unexpected conditions, especially in missions that demand more intricate tasks. To solve this issue, attitude control simulators have been developed, such that satellite control laws can be tested inexpensively in a lab environment, while maintaining a high level of accuracy to the environment it emulates. The Nanosatellite Attitude Control Simulator (NACS) has been developed at McMaster University for this purpose. The mechanism responsible for environment simulation is the automatic balancing system (ABS), which minimizes the torque on the system from the gravity vector by influencing the center of mass (CoM) of the system. The performance of the ABS in planar and vertical balancing tasks are presented. Additionally, system parameters of moment of inertia and CoM are estimated from response data.
Break
Lunch/Exhibition Break 11:40 AM - 1:10 PM
Session 7:
Communication and Networking
25 April 2024 • 1:10 PM - 2:30 PM EDT | National Harbor 8
Session Chair:
Qi Zhao, Intelligent Fusion Technology, Inc. (United States)
13062-25
25 April 2024 • 1:10 PM - 1:30 PM EDT | National Harbor 8
Show Abstract +
Unmanned Aerial Vehicle (UAV) delivery businesses are expected to be launched in the foreseeable future, expanding airspace density and intersection potential. As the density of UAVs operating in a smart community increases, collision avoidance becomes critical concerning safety. Typical solutions require integrated sensing, information exchange, and on-board decision-making. It is unaffordable for small-size UAVs. Inspired by Metaverse, we propose a low-cost collision avoidance scheme (LoCAS) for UAV delivery networks. UAVs are relieved from the burden of expensive and energy-consuming components. The computing-intensive tasks, including UAV tracking, and trajectory analysis, are off-loaded to the information fusion system.
13062-26
25 April 2024 • 1:30 PM - 1:50 PM EDT | National Harbor 8
Show Abstract +
The paper delves into the intricate architecture of the proposed cooperative AR system, detailing its distributed sensing and edge computing components, and the Apache Storm-integrated platform. The implementation encompasses data collection, aggregation, analysis, object recognition, and rendering of 3D models on the HoloLens, all in real-time. The proposed system enhances AR experience while showcasing the vast potential of distributed edge computing. Our findings illustrate the feasibility and advantages of merging distributed cooperative sensing and edge computing to offer dynamic, immersive AR experiences, paving the way for new applications.
13062-27
25 April 2024 • 1:50 PM - 2:10 PM EDT | National Harbor 8
Show Abstract +
Among the most expensive and critical components in the transmit laser in a communication terminal are the multimode pump laser diodes used to amplify the laser signal for secure transmission through space. With multiple active laser components in each optical communication terminal, well-demonstrated reliability is a critical factor in the selection of the pump laser diodes. We present a comprehensive study on the qualification of high-power laser diode components for integration into satellite communications. We detail the design and execution of various tests, such as mechanical shock, thermal cycling, radiation exposure, and vacuum chamber trials, to mimic the challenges of space operation. The results of this study not only provide valuable information for the specific laser component under investigation but also contribute to the broader understanding of qualifying optical components for spaceborne systems.
13062-28
25 April 2024 • 2:10 PM - 2:30 PM EDT | National Harbor 8
Show Abstract +
Laser Power Transfer can serve as a potential solution to powering solar cells that are out of contact with the sun. It also has the potential to be combined with communications through beam modulation. This research aimed to integrate LPT and communications into a dual-use system, thus decreasing the Size, Weight, and Power (SWaP) of a rover, which would in turn reduce its cost and increase its efficiency. The two main focuses of this research were to optimize data rate and power transfer to a solar cell through the modulation of a laser beam by comparing different modulation methods.
Program Committee
Eric K. Hall
L3 Harris Technologies, Inc. (United States)
Program Committee
Hao Xu
Univ. of Nevada, Reno (United States)
Program Committee
Yiran Yang
The Univ. of Texas at Arlington (United States)