An Adaptive Beamformer Algorithm-Based BMEVA Method for Enhanced Radar Imaging

Abstract

In this paper, an adaptive beamformer algorithm LMS is presented and showed to improve the Bayesian Maximum Entropy–Variational Analysis (BMEVA) performance for high resolution radar imaging and denoising. A formalism to fuse the BMEVA and its integration inside the LMS structure is also presented. Finally, the image enhancement and denoising produced by the proposed Adaptive BMEVA method is analyzed, and the filter computational performance is demonstrated via SAR images scenarios.