IR Clutter Partitioning For Matched Filter Design

John C. vom Lehn; David A. Langan; David S. K. Chan

doi:10.1117/12.960343

5 September 1989 IR Clutter Partitioning For Matched Filter Design

John C. vom Lehn, David A. Langan, David S. K. Chan

Proceedings Volume 1096, Signal and Data Processing of Small Targets 1989; (1989) https://doi.org/10.1117/12.960343
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

An Infrared Search and Track (IRST) system may consist of a target detection pre-processor and a higher-level processor which evaluates candidate detections and forms tracking hypotheses. The detection signal processing must evaluate large numbers (tens of thousands) of pixels at the sensor frame rate and determine a small number (tens) of candidate detections. To be effective, detection processing must be able to detect targets at long ranges and extract targets from background clutter. While the higher-level process will be able to reject some false alarms and occasionally fill in missed targets, system performance will be critically degraded by poor detection capabilities. For most applications, such as airborne reconnaissance, size and weight considerations impose significant limitations on allowable computational complexity. Thus, the detection processing must be as accurate as possible while remaining fast and simple.

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John C. vom Lehn, David A. Langan, and David S. K. Chan "IR Clutter Partitioning For Matched Filter Design", Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); https://doi.org/10.1117/12.960343

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