Robust source tracking algorithm for partially adaptive arrays

Abstract

A new algorithm for overcoming the problem of incidental cancellation and improving the convergence behaviour of large partially adaptive arrays is proposed and investigated. The algorithm uses an auxiliary adaptive source tracker to separate individual sources in the environment before using the resulting outputs to cancel unwanted jamming picked up through the main beam of the system. Because the source tracker's outputs are roughly orthogonal in the steady state and the positions of sources of significant powers are available, the algorithm possesses fast convergence behaviour and solves the problem of incidental cancellation in the most natural manner by adding back the desired signal to the canceller output if the former is cancelled during the adaptation process. In addition, the algorithm has about the same computational complexity as partially adaptive generalized sidelobe cancellers using steepest descent based algorithm.