Fpga implementation of beamforming algorithm for terrestrial radar application

Beamforming or spatial filtering combines signals from an array of sensors, to achieve directionality. Each signal is weighted and summed to form a single strong signal from a desired direction of arrival, while suppressing interference. Without mechanical structures the antenna can be steered electronically by adjusting gain and phase. This concept can be used in terrestrial radar application scenarios like open cast mining of metallic mineral core. FPGAs offer higher levels of performance; therefore they are especially appropriate for beamforming applications. Here focus, is to implement adaptive beamforming algorithm known Least Mean Square Algorithm in FPGA. Therefore the relation between Mean Square Error and Iterations and different Step Size are found out. Power Analysis of LMS is presented using Xilinx X Power Analyzer.