低复杂度单载波时域均衡算法  

Low-complexity single carrier time domain equalization algorithm

作　　者：何世文 官沛雯[2] 彭丞佐 邓训喆 安振宇 HE Shiwen;GUAN Peiwen;PENG Chengzuo;DENG Xunzhe;AN Zhenyu(School of Software,Xinjiang University,Urumqi 830049,China;School of Computer Science and Engineering,Central South University,Changsha 410083,China;Purple Mountain Laboratories,Nanjing 211111,China)

机构地区：[1]新疆大学软件学院,新疆乌鲁木齐830049 [2]中南大学计算机学院,湖南长沙410083 [3]紫金山实验室,江苏南京211111

出　　处：《通信学报》2024年第9期170-182,共13页Journal on Communications

基　　金：国家重点研发计划基金资助项目(No.2023YFB2504700);国家自然科学基金资助项目(No.62171474)。

摘　　要：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。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 inversion.Taking full advantage of the special structure of Toeplitz matrix and the idea of successive interference cancellation,a low-complexity single carrier time domain equalization algorithm was proposed to avoid high-dimensional matrix inversion,by converting the high-dimensional channel equalization system into multiple low-dimensional channel equalization 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.

关 键 词：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 

分 类 号：TN92[电子电信—通信与信息系统]