Performance of a Non-Linear Adaptive Beamforming Algorithm for Signal-of-Interest Extraction

In this article, a non-linear adaptive beamforming technique, Adaptive Projections Subgradient Method (APSM) [1] is considered. This technique uses projections over convex sets in Reproducing Kernel Hilbert Space. Main advantage of this technique is observed if the signal-of-interest is due to digital modulation and when there are more jammers than the number of antennas. The performance of this non-linear beamforming technique is compared with well-known method Minimum Variance Distortionless Response (MVDR) Beamformer. An algorithm which enhances MVDR Performance in the scenario of more-jammers-than-antennas has been proposed. The beamformer methods are compared in a variety of scenario in order to outline the advantages and disadvantages clearly.