(Peer-Reviewed) A modified weighted high-resolution adaptive range estimation method for active sonar
ZHANG Shuhao 张舒皓 ¹ ², MA Xiaochuan 马晓川 ¹ ², WANG Lei 王磊 ¹, SONG Qiyan 宋其岩 ¹ ², ZHAN Fei 詹飞 ¹
¹ Institute of Acoustics, Chinese Academy of Sciences Beijing 100190
中国 北京 中国科学院声学研究所
² University of Chinese Academy of Sciences, Beijing 100049
中国 北京 中国科学院大学
Abstract
This paper proposes a high-resolution adaptive range-dimensional beamforming approach to improve the performance of the range estimation of active sonars.In our approach,three types of weight matrices are proposed.
The first approach utilizes a diagonal matrix,where the first element on the main diagonal is the residual sum of squares,while all the rest is set to zero.The second approach uses an identity matrix.In the third approach,we use a diagonal matrix,where the main diagonal is filled with the residual sum of squares used in the first one.
Furthermore,we also propose a high-order linear prediction model with different references of sub-bands by using the three weight matrices to construct the output of the power spectrum.One advantage of our proposed approach avoids the low-order linear prediction used by the range-dimensional beamforming method.
We compare our approach with states-of-theart range-dimensional beamforming methods.The experimental results show that our proposed approach achieves a higher range resolution.
Multi-photon neuron embedded bionic skin for high-precision complex texture and object reconstruction perception research
Hongyu Zhou, Chao Zhang, Hengchang Nong, Junjie Weng, Dongying Wang, Yang Yu, Jianfa Zhang, Chaofan Zhang, Jinran Yu, Zhaojian Zhang, Huan Chen, Zhenrong Zhang, Junbo Yang
Opto-Electronic Advances
2025-01-22
