Miniaturized Phased Array Signal Processing Hardware Design Based on Adaptive Beamforming Technology

This paper focuses on the challenges faced in hardware design for array signal processing using adaptive beamforming technology. Guided by the requirements of phased array radar systems, the study introduces various beamforming techniques and explores the criteria for adaptive beamforming. Specifically, it covers the classical Sample Matrix Inversion (SMI) adaptive beamforming algorithm. In environments that demand miniaturization and real-time operation, the paper considers the use of subarrays. It delves into the impact of subarrays on the performance of adaptive beamforming and offers computational methods tailored for subarray-level beamforming. Using Xilinx's High-Level Synthesis (HLS), an adaptive beamforming module has been implemented. The correctness was verified through C-based simulation analysis, and the functionality was further validated using the Zynq Ultrascale+ MPSOC platform.