A New Algorithm for Adaptive Radar Signal Processing

摘要

A new adaptive processing algorithm, called Weighted Covariance Estimation (WCE), for the detection of signals in interference of unknown character is presented. Its main advantage over present techniques, such as Sample MAtrix Inversion (SMI), is its tendency not to suppress desired signals present in the learning data. WCE and SMI are compared for a radar problem of practical interest, adaptive MTI from a moving platform, using both simulated and actual radar data. (Author)