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7 June 1996 Adaptive CFAR techniques for signal detection in the Doppler domain
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There has been increasing interest in the extraction of data from the frequency (doppler) domain for such purposes as target identification and kill assessment. An initial aspect of this process is to determine if there are signals in the doppler domain. There have been a number of techniques developed for signal detection in the time domain including various constant false alarm rate (CFAR) algorithms, but not many techniques have been translated or developed for the frequency domain. One reason for this lack of techniques results from an inability to accurately classify the statistics of the noise found within given regions of interest. Using the central limit theorem and some reasonable assumptions, it has been possible to develop two techniques that can be utilized as adaptive CFAR algorithms in the frequency domain.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Theodore R. Rice and Jeffrey E. Conte "Adaptive CFAR techniques for signal detection in the Doppler domain", Proc. SPIE 2739, Acquisition, Tracking, and Pointing X, (7 June 1996);

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