Abstract: Smart antennas are an array of antennas used for directional transmission/reception signal or beams toward each user in the system. Beamforming is a general signal processing technique used to control the directionality of the reception or transmission of a signal on a transducer phased array. The magnitude and phase of the signal to and from each antenna is adjusted by multiplying each user signal by complex weights. Adaptive beamforming can be used as a method for estimating an unknown waveform from a source impinging on an array of sensors. In the adaptive beamforming the weights are computed and adaptively updated in real time. Different beamforming algorithms like side-lobe cancellers, Linearly constrained minimum variance (Lcmv), Least Mean Squares (LMS), Recursive Least Square (RLS) and Direction of Arrival (DOA) exist in literature. Among the Direction of Arrival (DOA) algorithms, MUSIC and ESPRIT play the most important role. This study presents study and analyzes an FPGA architecture Adaptive Beamforming of Smart Antenna system based on MUSIC algorithm. This study focuses on adaptive beam forming approach used in smart antennas and Recursive Least Square (RLS) algorithm used to compute the complex weights. Designed model is simulated using Matlab/Simulink software and the Synthesis report for the designed system is generated from XSG tool.
C. Thiripurasundari and V. Sumathy, 2016. Efficient FPGA Architecture for RLS Algorithm Based Adaptive Beam Forming for Smart Antenna System. Asian Journal of Information Technology, 15: 3108-3124.