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基于GA-MP的低复杂度OTFS检测算法
孙宇彤,贾皓翔,何欣,郭梦琪,赵旦峰
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(1.哈尔滨工程大学 信息与通信工程学院,哈尔滨 150001;2.中国电子科技集团公司第五十四研究所,石家庄050081;3.通信网信息传输与分发技术重点实验室,石家庄 050081)
摘要:
针对正交时频空(Orthogonal Time Frequency Space,OTFS)通信系统信号检测复杂度高的问题,提出一种改进的高斯近似消息传递(Gaussian Approximate Message Passing,GA-MP)检测算法。依据最大后验概率检测准则,对发送信号及隐变量进行逐符号高斯近似,基于置信传播算法与联合因子图进行消息传递,用边缘后验概率替代GA-MP中的外部信息以减少运算量,结合阻尼因子提升收敛速度,同时引入概率阈值减少后续更新的节点数,从而使运算复杂度得到有效降低。实验结果表明,改进后的GA-MP算法在保证误码率性能的前提下具有更低的复杂度。
关键词:  正交时频空  信号检测  高移动性场景  高斯近似消息传递  低复杂度
DOI:10.20079/j.issn.1001-893x.220818005
基金项目:中国电子科技集团公司第五十四研究所校企合作项目(SKX212010007)
A Low Complexity OTFS Detection Algorithm Based on GA-MP
SUN Yutong,JIA Haoxiang,HE Xin,GUO Mengqi,ZHAO Danfeng
(1.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;2.The 54th Research Institute of China Electronics Technology Group Corporation,Shijiazhuang 050081,China;3.Science and Technology on Communication Networks Laboratory,Shijiazhuang 050081,China)
Abstract:
For the high complexity of signal detection in an orthogonal time frequency space(OTFS) communication system,an improved Gaussian Approximate Message Passing(GA-MP) detection algorithm is proposed.According to the maximum a posteriori probability detection criterion,sign by sign Gaussian approximate for the transmitted signal and hidden variables is proformed,and the message is transmitted based on the belief propagation algorithm and the joint factor graph.The marginal a posteriori probability is used to replace the extrinsic information in GA-MP to reduce the amount of computation,and the convergence speed is improved in combination with the damping factor.At the same time,the probability threshold is introduced to reduce the number of subsequent updated nodes,so that the computational complexity is effectively reduced.The experimental results show that the improved GA-MP algorithm has lower complexity under the premise of ensuring the bit error rate performance.
Key words:  orthogonal time frequency space(OTFS)  signal detection  high mobility scenarios  Gaussian approximate message passing(GA-MP)  low complexity