Reserch on Multi-beam Sonar Imaging Based on Improved RLS Algorithm
Wennuo Zhang, Xiaolong Xu, Tilang Zhang, Yu Zhang, Yajun Yang, Junsong Xu · 2024
Multi beam imaging sonar has a wide range of applications in underwater target detection due to its high resolution and the ability to visually display targets in two-dimensional sector images. Among them, beamforming technology is the key technology for multi beam sonar imaging, and its performance directly affects the imaging resolution of multi beam sonar. However, traditional beamforming algorithms require pre generation of signals in each beam direction, resulting in substantial issues such as high computational complexity and low real-time imaging performance. Therefore, this article proposes a multi beam sonar imaging technology that improves the RLS beamforming algorithm: based on the adaptive forgetting factor RLS algorithm, the parameters that determine the speed of step change are optimized, and the smoothing weights are estimated to update the exponential change curve, thereby achieving the optimization of beamforming technology. A series of simulation experiments are constructed to verify the performance of the proposed algorithm. The experimental results show that the improved RLS algorithm has a narrower main lobe compared to other open-loop adaptive beamforming algorithms; When facing multiple target echo signals, the error change is smaller, and the target position displayed in the imaging highlight map is clearer.