通信学报2025，Vol.46Issue(4)：199-212,14.DOI:10.11959/j.issn.1000-436x.2025071
基于响应生成网络的水声信道估计方法
Underwater acoustic channel estimation method based on response generative network
摘要
Abstract
To address the issue of low channel estimation accuracy in underwater acoustic communication environments,an underwater acoustic channel estimation method based on the response generative network(RGNet)was proposed.First,an underwater acoustic impulse response model based on MIMO-OTFS channel characteristics was established.On this basis,a time-delay-compensated localized analysis algorithm was proposed for 3D reconstruction of underwater sig-nals to reduce feature errors caused by the dynamic changes of the channels.Considering OTFS time-delay-Doppler ma-trix's susceptibility to noise pollution,which leads to matrix expansion and distortion,a self-iterative signal updating net-work was proposed.The input signal of the generative network was updated by a weight and bias update algorithm based on L1-regularized least squares.Finally,to address the instability of traditional deep learning models for underwater acoustic signals,a decomposed optimization algorithm based on Bures-Wasserstein objective function was proposed.The convergence process of the objective function was decomposed into several sub-problems to improve the model's conver-gence speed and reduce errors.Experimental results show that the proposed method achieves a normalized mean square error of 0.04 for channel estimation at a signal-to-noise ratio of 5 dB.Moreover,compared with other methods,the pro-posed method achieves lower signal peak blur and less signal distortion in the time-delay and Doppler response heat maps.关键词
响应生成网络/时滞补偿/时延-多普勒/归一化均方误差Key words
response generative network/time-delay compensation/delay-Doppler/normalized mean squared error分类
信息技术与安全科学引用本文复制引用
徐明,张琦..基于响应生成网络的水声信道估计方法[J].通信学报,2025,46(4):199-212,14.基金项目
国家自然科学基金资助项目(No.62172269) The National Natural Science Foundation of China(No.62172269) （No.62172269）
