Assessment of Subspace Signal Detection in Jamming Environment

This paper deals with the problem of detecting a subspace signal in jamming environment which characterized by generalized eigenrelation (GER). Since no uniformly most powerful test exists for the problem at hand, we devise and assess three adaptive subspace detectors designed according to the GLRT test, the Rao test, and the Wald test. Numerical examples indicate that the detectors obtained by using the GLRT criteria can achieve better detection performance in jamming environment than the existing detectors. The proposed Wald detector have the best performance in detecting mismatched signal. The proposed Rao detector can work only when secondary data is sufficient.