Multisensor-multitarget sensor management with target preference

Adel I. El-Fallah; Mike Perloff; B. Ravichandran; Tim R. Zajic; Chad Stelzig; Ronald P. S. Mahler; Raman K. Mehra

doi:10.1117/12.543822

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9 August 2004 Multisensor-multitarget sensor management with target preference

Adel I. El-Fallah, Mike Perloff, B. Ravichandran, Tim R. Zajic, Chad Stelzig, Ronald P. S. Mahler, Raman K. Mehra

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Proceedings Volume 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII; (2004) https://doi.org/10.1117/12.543822
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Multisensor-multitarget sensor management is viewed as a problem in nonlinear control theory. This paper applies newly developed theories for sensor management based on a Bayesian control-theoretic foundation. Finite-Set-Statistics (FISST) and the Bayes recursive filter for the entire multisensor-multitarget system are used with information-theoretic objective functions in the development of the sensor management algorithms. The theoretical analysis indicate that some of these objective functions lead to potentially tractable sensor management algorithms when used in conjunction with MHC (multi-hypothesis correlator)-like algorithms. We show examples of such algorithms, and present an evaluation of their performance against multisensor-multitarget scenarios. This sensor management formulation also allows for the incorporation of target preference, and experiments demonstrating the performance of sensor management with target preference will be presented.

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Adel I. El-Fallah, Mike Perloff, B. Ravichandran, Tim R. Zajic, Chad Stelzig, Ronald P. S. Mahler, and Raman K. Mehra "Multisensor-multitarget sensor management with target preference", Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); https://doi.org/10.1117/12.543822

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