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Proceedings Paper

Multistatic passive coherent location using multilateration techniques
Author(s): Sean A. Kaiser; Andrew J. Christianson; Ram M. Narayanan
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Paper Abstract

Passive Coherent Location (PCL) is a developing radar field, in which the system processes reflections from opportunistic illumination sources in the environment for detection and tracking. Many developments and improvements of PCL implement pseudo-monostatic and bistatic radar configurations; however, with the proliferation of commercial communication systems, the spectrally dense environment proves to be in favor of a multistatic PCL system. In the multistatic case, it can be shown that geolocation of a target is a unique extension of multilateration algorithms. In multilateration, the receiver location is unknown and calculated by exploiting the intersections of distances from receiver to transmitters; in multistatic PCL, an object location is unknown and the intersection of transmitter distance to receiver and reflection distance to receiver are utilized. Multilateration is a well-studied topic where there are many developed techniques that can be applied after the reflection distance is derived with ray tracing principles. The framework for a time-of-arrival based multistatic PCL is provided using time-difference-of-arrival (TDOA) as a measure of propagation time and path length. A nonlinear multilateration solver using a least means square algorithm calculates the geolocation of the object within a tolerable error. Using a frequency modulated (FM) test signal, simulated results show comparable results to a bistatic PCL system using angular measurements for geolocation. Furthermore, a multistatic multilateration system is more tolerant to timing errors compared to a bistatic system with angular inaccuracy. The developed multistatic PCL system is realized and verified using an FM signal.

Paper Details

Date Published: 12 May 2016
PDF: 10 pages
Proc. SPIE 9829, Radar Sensor Technology XX, 982904 (12 May 2016); doi: 10.1117/12.2224116
Show Author Affiliations
Sean A. Kaiser, The Pennsylvania State Univ. (United States)
Naval Surface Warfare Ctr. Crane Div. (United States)
Andrew J. Christianson, Naval Surface Warfare Ctr. Crane Div. (United States)
Ram M. Narayanan, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 9829:
Radar Sensor Technology XX
Kenneth I. Ranney; Armin Doerry, Editor(s)

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