首页|基于置信度和期望传播的GSM-OTFS信号检测算法

基于置信度和期望传播的GSM-OTFS信号检测算法

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结合正交时频空(OTFS)技术与广义空间调制(GSM),提出混合置信度(EP)和期望传播(BP)的EP-BP信号检测算法。该算法将离散概率分布投影到多元复高斯分布函数中,通过均值向量和协方差矩阵的迭代传递计算出GSM发射符号置信度。为了降低计算复杂度,设计了两阶段的TS-EP-BP信号检测算法:第1阶段通过EP-BP确定激活天线组合,第2阶段将因子图中的矢量变量节点(VN)分离为多个子VN,并剪除无效子VN。考虑调制符号独立于激活天线,采用一元复高斯分布函数近似以大幅度减少符号置信度计算次数。通过仿真对不同条件下不同算法的误码率进行对比,结果表明,所提EP-BP和TS-EP-BP算法具有较优的误码率性能,尤其TS-EP-BP算法可以通过改变第1阶段的最大迭代次数来灵活地平衡误码率性能和计算复杂度。
GSM-OTFS signal detection algorithm based on belief propagation and expectation propagation
A signal detection algorithm adopting the hybrid belief propagation and expectation propagation (EP-BP) was proposed,by combining the orthogonal time frequency space (OTFS) technology and the generalized spatial modulation (GSM).The discrete probability distribution was projected into a multivariate complex Gaussian function,and the beliefs of the GSM transmission symbols were calculated via the iterative propagation of the mean vectors and the covariance matrices.A two-stage TS-EP-BP signal detection algorithm was designed to reduce the computational complexity.The activated antenna combination was determined via the EP-BP in the first stage,and in the second stage,the vector variable node (VN) in the factor graph was decomposed into multiple sub-VNs,and the invalid sub-VNs were cut out.Considering that the modulation symbols were independent to the activated antennas,the computation times of symbol belief were greatly reduced by the approximation of the univariate complex Gaussian distribution function.Bit error rates of different algorithms in different conditions were compared through simulation,and the results showed that,the proposed EP-BP and TS-EP-BP algorithms had better performance of bit error rate,especially,by the TS-EP-BP algorithm,a flexible performance-complexity tradeoff was striked by changing the maximum iteration times in the first stage.

orthogonal time frequency spacegeneralized spatial modulationbelief propagationexpectation propagationsignal detection

周围、窦文静、李倩倩、徐锐

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重庆邮电大学光电工程学院,重庆 400065

重庆邮电大学移动通信技术重庆市重点实验室,重庆 400065

正交时频空(OTFS) 广义空间调制(GSM) 置信传播 期望传播 信号检测

2024

浙江大学学报(工学版)
浙江大学

浙江大学学报(工学版)

CSTPCD北大核心
影响因子:0.625
ISSN:1008-973X
年,卷(期):2024.58(12)