New results on integrated adaptive filtering and CFAR processing

The authors examine the detection performance of the GLR (generalized likelihood ratio) algorithm in nonhomogeneous/nonstationary clutter environments which lead to nonidentical distribution of secondary (training) data. For two common types of nonhomogeneity, i.e., the so-called signal contamination and clutter edge, the asymptotic detection performance is derived and compared to simulation. These asymptotic results are relatively simple to use and predict the GLR performance in nonhomogeneous environments quite well. The GLR performance loss due to the nonhomogeneity is also evaluated. It is found that the generalized angle between the desired and contaminating signals plays a very important role in the study of the effect of the signal contamination. It is also found that the performance degradation due to the clutter edge relies largely on the clutter spectrum spread and target-clutter Doppler separation