Adaptive Direction Detection in Deterministic Interference and Partially Homogeneous Noise

Abstract

In this letter, we consider the problem of direction detection in deterministic interference and partially homogeneous noise. The target echoes, reflected by a distributed target, all come from the same direction. However, the signal steering vector is only known to lie in a subspace of dimension greater than one. The interference belongs to a subspace linearly independent of the signal subspace. We propose two effective detectors according to the two-step design criteria of the generalized likelihood ratio test and the Wald test. It is shown that the proposed detectors possess the constant false alarm rate property and have better detection performance than their counterparts.