Interactive banks of Bayesian matched filters

Boris L. Rozovskii; Anton Petrov; Rudolf B. Blazek

doi:10.1117/12.391972

13 July 2000 Interactive banks of Bayesian matched filters

Boris L. Rozovskii, Anton Petrov, Rudolf B. Blazek

Proceedings Volume 4048, Signal and Data Processing of Small Targets 2000; (2000) https://doi.org/10.1117/12.391972
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

There exist a number of powerful methods for detecting small low observable targets with stationary dynamics in image sequences provided by IR and other imaging sensors (see e.g.¹²). However, these methods need to be extended to handle maneuvering targets. In this paper, we demonstrate that banks of interacting Bayesian filters (BIBF) can be utilized for this purpose. We are considering target dynamics modeled by jump-linear systems. In contrast to previous studies, we do not assume that the mode jump process is a Markov chain. In particular, we allow the probabilities of jumps to be conditioned on the state variable. Then, we present a computationally efficient (real time) algorithm for detection and tracking of low observable agile targets. A comparison of BIBY and IMM approaches is carried out in a simple example.

Citation Download Citation

Boris L. Rozovskii, Anton Petrov, and Rudolf B. Blazek "Interactive banks of Bayesian matched filters", Proc. SPIE 4048, Signal and Data Processing of Small Targets 2000, (13 July 2000); https://doi.org/10.1117/12.391972

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