Abstract：As an important equipment in marine fisheries, Multi-beam fishery sonar makes use of sound waves to detect underwater creatures, with the beamforming algorithms being the core technology in its development process. Based on the traditional shifted sideband beamforming (SSB) algorithm, this paper proposes an improved algorithm which converts parallel processing to serial processing, and increases the signal processing speed without causing performance loss. Firstly, this improved algorithm was compared with SSB. Then the improved algorithm was implemented on the field gate array (FPGA) platform, and performance evaluation and resource consumption were analyzed for the two algorithms. Finally a directive test was conducted over the FPGA realization of the improved algorithms in an anechoic sonar pond, and the simulated beam pattern was compared with the measured beam pattern through MATLAB. The results showed no difference of the two algorithms in their performance, while the resource consumption of the improved algorithm was nearly 70% lower than SSB. Meanwhile, the measured results of the improved algorithm were roughly consistent with the theoretical simulations, and the deviation was in a reasonable range.
程婧，王志俊,李国栋，魏珂. 多波束渔用声呐波束成形算法设计与FPGA实现[J]. 渔业现代化杂志, 2021, 48(6): 95-.
CHENG Jing, WANG Zhijun, LI Guodong, WEI Ke . Design and FPGA implementation of beamforming algorithms in multi-beam fishery sonar. , 2021, 48(6): 95-.
