Adaptive sequential algorithms for detecting targets in a heavy IR clutter

Alexander G. Tartakovsky; Skirmantas Kligys; Anton Petrov

doi:10.1117/12.364013

4 October 1999 Adaptive sequential algorithms for detecting targets in a heavy IR clutter

Alexander G. Tartakovsky, Skirmantas Kligys, Anton Petrov

Proceedings Volume 3809, Signal and Data Processing of Small Targets 1999; (1999) https://doi.org/10.1117/12.364013
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Cruise missiles over land and sea cluttered background are serious threats to search and track systems. In general, these threats are stealth in both the IR and radio frequency bands. That is, their thermal IR signature and their radar cross section can be quite small. This paper discusses adaptive sequential detection methods which exploit 'track- before-detect' technology for detection glow-SNR targets in IR search and track (IRST) systems. Despite the fact that we focus on an IRST against cruise missiles over land and sea cluttered backgrounds, the results are applicable to other sensors and other kinds of targets.

Citation Download Citation

Alexander G. Tartakovsky, Skirmantas Kligys, and Anton Petrov "Adaptive sequential algorithms for detecting targets in a heavy IR clutter", Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); https://doi.org/10.1117/12.364013

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