Aspect aware UAV localization

Christian R. Berger; Shengli Zhou; Peter Willett

doi:10.1117/12.778097

16 April 2008 Aspect aware UAV localization

Christian R. Berger, Shengli Zhou, Peter Willett

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69690U (2008) https://doi.org/10.1117/12.778097
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

We consider target detection and tracking of stealthy targets. These targets can be characterized by a strong aspect dependence leading to difficult detectability without a multi-static setup. Even in a multi-static setup only sensors in a certain zone can detect the return signal, if the the aspect dependent return has a small bandwidth. We propose a solution based on a large number of simple sensor, as using many receivers increases the probability of detection. The sensors are simple in the sense that they only transmit binary detection results to a fusion center that has comparatively deep capabilities, and they do not need to know their own position or communicate with other sensors. We characterize the target position estimation performance using the Cramer-Rao bound and simulation results, considering uncertainty in nuisance parameters as the sensor positions or the specifics of the aspect dependence. We suggest a data collection protocol that includes locating sensors that detect the target and has low communication complexity. As a novelty we also include information about "non-localized" sensors, as sensors which do not detect the target stay quiet to save bandwidth and energy, therefore are not known to the fusion center except via knowledge of the deployed sensor density and deployment region.

Citation Download Citation

Christian R. Berger, Shengli Zhou, and Peter Willett "Aspect aware UAV localization", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690U (16 April 2008); https://doi.org/10.1117/12.778097

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