Dimension reduction linear constrained minimum variance adaptive digital beamforming

Abstract

There are more and more multi-input and multi-output (MIMO) antenna systems used in Communication, Radar, Aerospace and remote sensing field. Digital beamforming (DBF) is a key part of MIMO array signal processing. The principle is spatial filtering to enhance desired signal and restrain the interference signals and noise. Adaptive digital beamforming (ADBF) could adjust weights with the changing of environment, obtain the optimal result of the particular rule. Linear constrained minimum variance (LCMV) adaptive digital beamforming technology is used mostly. However, there are two drawbacks in LCMV algorithm, one is side lobe level high (-10dB), the other is big computation amount. This paper proposes a kind dimension reduction linearly constrained minimum variance (LCMV) adaptive digital beamforming technology. Traditional signal processing systems usually use microprocessor or digital signal processor (DSP), which cannot meet the real-time processing requirement or are not flexible enough for engineering application. Field Programmable Gate Array (FPGA) is a good choice, reprogrammable characteristic, parallel processing and high communication bandwidth, which can greatly improve the efficiency of system. This paper we give the structure of the dimension reduction linearly constrained minimum variance adaptive digital beamforming technology implementation based on Field Programmable Gate Array (FPGA).