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Adaptive array CFAR detection

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1 Author(s)
S. Z. Kalson ; Lincoln Lab., MIT, Lexington, MA, USA

Presented here is a large class of adaptive array detection algorithms with constant false alarm rate (CFAR), so that the false alarm rate can be set to any preassigned number without knowledge of the noise covariance matrix. This class map incorporate any usual method of cell averaging and any method for array weight vector synthesis. A sufficient condition for CFAR is derived, which is easy to satisfy in practice. Basic system parameters are discussed. An example of detection performance for a simple cell-averaging detector, in which the array weight vector is synthesized by the method of diagonal loading, is provided using Monte Carlo simulations.<>

Published in:

IEEE Transactions on Aerospace and Electronic Systems  (Volume:31 ,  Issue: 2 )