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低复杂度单载波时域均衡算法

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由于卫星通信体制的约束,接收机信号处理在时域进行,致使传统信道均衡算法面临高维矩阵求逆困境.充分利用Toeplitz矩阵的特殊结构和连续干扰消除思想,提出了一种低复杂度单载波时域均衡算法,将高维信道均衡系统转换成多个低维信道均衡系统,依次对低维信道均衡系统进行均衡,从而避免对高维矩阵求逆操作.实验结果表明,与传统信道均衡算法相比,所提算法能以更低的计算复杂度实现更相近甚至更优的误码性能.
Low-complexity single carrier time domain equalization algorithm
Due to the constraints of the satellite communication systems,the receiver signal processing was carried out in the time domain,which made traditional channel equalization algorithms face the challenge of high-dimensional matrix in-version.Taking full advantage of the special structure of Toeplitz matrix and the idea of successive interference cancella-tion,a low-complexity single carrier time domain equalization algorithm was proposed to avoid high-dimensional matrix in-version,by converting the high-dimensional channel equalization system into multiple low-dimensional channel equaliza-tion systems and performing channel equalization successively.Simulation results show that compared with the traditional channel equalization algorithms,the proposed algorithm can achieve similar or better performance with lower complexity.

satellite communicationsingle carrier time domain equalizationToeplitz matrixsuccessive interference cancellationhigh-dimensional matrix inversion

何世文、官沛雯、彭丞佐、邓训喆、安振宇

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新疆大学软件学院,新疆 乌鲁木齐 830049

中南大学计算机学院,湖南 长沙 410083

紫金山实验室,江苏 南京 211111

卫星通信 单载波时域均衡 Toeplitz矩阵 连续干扰消除 高维矩阵求逆

国家重点研发计划基金资助项目国家自然科学基金资助项目

2023YFB250470062171474

2024

通信学报
中国通信学会

通信学报

CSTPCD北大核心
影响因子:1.265
ISSN:1000-436X
年,卷(期):2024.45(9)