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面向海上OFDM通信系统的LS信道估计算法优化

Optimization of LS Channel Estimation Algorithm for Maritime OFDM Communication Systems
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摘要 针对海上无线通信技术“如何提高信道估计的准确性和稳定性”进行研究,就海上OFDM通信系统中传统LS信道估计算法存在频域泄漏和噪声干扰会导致估计精度下降并影响通信质量和可靠性的问题,提出了一种改进的LS信道估计算法.该算法首先在频域将导频处获得的响应进行加窗处理减小频域泄漏的影响,然后利用IDFT在时域进行门限阈值降噪将信号噪声进行分离,DFT回到频域后再利用相邻信道联合估计算法进行优化处理.实验结果表明,与传统的LS信道估计算法相比,改进算法的估计误差更小,且具有更好的稳定性和鲁棒性. Aiming at the research of“how to improve the accuracy and stability of channel estimation”in maritime wireless communication technology,an improved LS channel estimation algorithm is proposed to solve the problem that the traditional LS channel estimation algorithm in maritime OFDM communication system has the problems of frequency domain leakage and noise interference,which will lead to the degradation of the estimation accuracy and affect the quality and reliability of the communication.The algorithm firstly adds a window in the frequency domain to the response obtained at the pilot frequency to reduce the effect of frequency domain leakage,and then separates the signal noise by using IDFT to perform threshold noise reduction in the time domain,and then optimizes the process by using the joint estimation algorithm of neighboring channels after the DFT returns to the frequency domain.The experimental results show that compared with the traditional LS channel estimation algorithm,the improved algorithm has smaller estimation error and better stability and robustness.
作者 刘阳 杨蕾 吴志强 LIU Yang;YANG Lei;WU Zhiqiang(School of Electrical and Electronic Engineering,Wuhan Polytechnic University,Wuhan 430023,China;Pku-Wuhan Institute for Artificial Intelligence,Wuhan 430073,China)
出处 《昆明理工大学学报(自然科学版)》 北大核心 2024年第5期68-76,共9页 Journal of Kunming University of Science and Technology(Natural Science)
基金 国家自然科学基金项目(U20A20162) 水声技术全国重点实验室稳定支持计划资助项目(JCKYS2023604SSJS009) 国家重点研发计划项目(2022YFE0136800) 武汉市知识创新专项项目-曙光计划专项项目(2023010201020490) 东湖高新区国家智能社会治理实验综合基地资助项目.
关键词 海上通信 正交频分复用 信道估计 加窗处理 门限阈值降噪 maritime communication orthogonal frequency division multiplexing channel estimation plus window processing threshold noise reduction
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