Target classification for phase array radar using the minimum norm criteria

Abstract

Using SVD a reconstruction consistent with the minimum norm criteria is derived. The resulting algorithm is able to profile an arbitrary target bearing distribution from the readings received at an arbitrary number of sensors with arbitrary directional characteristics and locations; in a noisy environment. The algorithm produced using this method represents an advance on previous multiple snapshot techniques designed to identify a limited number of point targets through parametric search. The more rapid process of a single matrix decomposition is employed to give the minimum norm estimate applicable to an arbitrary target profile-this being derived in principle from a single snapshot. The algorithm is well suited to the inclusion of a priori knowledge, which gives flexibility in speed and resolution.<>