Share Email Print
cover

Proceedings Paper

Simulating and testing autonomous behaviour in multiple airborne sensor systems
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The Multiple Airborne Sensor Targeting and Evaluation Rig (MASTER) is a high fidelity simulation environment in which data fusion, tracking and sensor management algorithms developed within QinetiQ Ltd. can be demonstrated and evaluated. In this paper we report an observer trajectory planning tool that adds considerable functionality to MASTER. This planning tool can coordinate multiple sensor platforms in tracking highly manoeuvring targets. It does this by applying instantaneous thrusts to each platform, the magnitude of which is chosen to gain maximum observability of the target. We use an efficient search technique to determine the thrust that should be applied to each platform at each time step, and the planning horizon can either be one-step (greedy) or two-step. The measure of performance used in evaluating each potential sensor manoeuvre (thrust) is the posterior Cramer-Rao lower bound (PCRLB), which gives the best possible (lowest mean square error) tracking performance. We exploit a recent novel approach to approximating the PCRLB for manoeuvring target tracking (the "best-fitting Gaussian" (BFG) approach: Hernandez et al., 2005). A closed-form expression gives the BFG approximation at each sampling time. Hence, the PCRLB can be approximated with a very low computational overhead. As a result, the planning tool can be implemented as an aid to decision-making in real-time, even in this time-critical airborne domain. The functionality of MASTER enables one to access the performance of the planning tool in a range of sensor-target scenarios, enabling one to determine the minimal sensor requirement in order to satisfy mission requirements.

Paper Details

Date Published: 2 May 2007
PDF: 12 pages
Proc. SPIE 6561, Unmanned Systems Technology IX, 65610O (2 May 2007); doi: 10.1117/12.719482
Show Author Affiliations
Moira I. Smith, Waterfall Solutions Ltd. (United Kingdom)
Marcel L. Hernandez, QinetiQ Ltd. (United Kingdom)
Matthew Cooper, QinetiQ Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 6561:
Unmanned Systems Technology IX
Grant R. Gerhart; Douglas W. Gage; Charles M. Shoemaker, Editor(s)

© SPIE. Terms of Use
Back to Top