Expert system constant false alarm rate processor

William J. Baldygo Jr.; Michael C. Wicks

doi:10.1117/12.157777

22 October 1993 Expert system constant false alarm rate processor

William J. Baldygo Jr., Michael C. Wicks

Proceedings Volume 1954, Signal and Data Processing of Small Targets 1993; (1993) https://doi.org/10.1117/12.157777
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

The requirements for high detection probability and low false alarm probability in modern wide area surveillance radars are rarely met due to spatial variations in clutter characteristics. Many filtering and CFAR detection algorithms have been developed to effectively deal with these variations; however, any single algorithm is likely to exhibit excessive false alarms and intolerably low detection probabilities in a dynamically changing environment. A great deal of research has led to advances in the state of the art in Artificial Intelligence (AI) and numerous areas have been identified for application to radar signal processing. The approach suggested here, discussed in a patent application submitted by the authors, is to intelligently select the filtering and CFAR detection algorithms being executed at any given time, based upon the observed characteristics of the interference environment. This approach requires sensing the environment, employing the most suitable algorithms, and applying an appropriate multiple algorithm fusion scheme or consensus algorithm to produce a global detection decision.

Citation Download Citation

William J. Baldygo Jr. and Michael C. Wicks "Expert system constant false alarm rate processor", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); https://doi.org/10.1117/12.157777

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KEYWORDS

Detection and tracking algorithms

Evolutionary algorithms

Radar

Filtering (signal processing)

Environmental sensing

Doppler effect

Surveillance

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