基于期望传播的差分空间调制信号检测算法  

Expectation Propagation-based Signal Detection for Differential Spatial Modulation

作　　者：邵华 王淳[1] 曹荻非 李卫 张海君 SHAO Hua;WANG Chun;CAO Difei;LI Wei;ZHANG Haijun(School of Intelligence Science and Technology,University of Science and Technology Beijing,Beijing 100083,China;School of Computer&Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]北京科技大学智能科学与技术学院,北京100083 [2]北京科技大学计算机与通信工程学院,北京100083

出　　处：《电子与信息学报》2025年第3期590-599,共10页Journal of Electronics & Information Technology

基　　金：雄安科技创新专项(2022XAGG0114);国家自然基金(62101030,62102021)。

摘　　要：设计高效且复杂度低的检测算法是差分空间调制(DSM)系统中的一大关键问题。该文提出了一种多相移键控差分空间调制系统的贝叶斯期望传播(EP)信号检测方法,将DSM的信号检测问题转化为待检测信号的参数估计问题,通过迭代估计先验和后验分布的参数,获得检测信号的估计值。该算法将原始的信号检测问题分解为天线域信息和星座域信息两部分,其中天线域检测通过期望传播算法迭代求取,星座域比特通过迭代过程中最优解调获得,降低了算法复杂度。进一步地,该文针对传统期望传播方法中噪声参数进行了扩展,在迭代过程中不断调整噪声项的矩估计,获得了比传统方案更好的性能。该文对所提近最优解调方案进行了仿真验证,结果表明所提方案性能优于传统线性检测方案;所提的基于期望传播的噪声修正方案性能优于传统恒值方案;在不同天线配置和调制阶数情况下,所提方案均能够快速收敛。Objective This research develops an efficient Bayesian Expectation Propagation(EP) detection method for Differential Spatial Modulation(DSM) systems using Multi-Phase Shift Keying(MPSK).DSM systems are notable for their advantage of not requiring Channel State Information(CSI),yet signal detection complexity remains a significant challenge.The detection problem is reformulated as a parameter estimation task,where a prior and a posterior distribution parameters are iteratively estimated to improve detection accuracy.By decoupling antenna-domain detection from constellation-domain information,computational complexity is reduced while maintaining high performance.Additionally,the traditional EP method is extended to account for variable noise variance,dynamically adjusting the noise term's second-order estimate to enhance robustness.This research is essential for improving the practical applicability and performance of DSM systems,enabling efficient,low-complexity signal detection in modern wireless communication networks.Methods This research applies an EP approach to enhance the detection of DSM signals.The detection process is reformulated as a parameter estimation problem,where the a priori and a posteriori distribution parameters of the antenna domain and constellation domain are iteratively optimized.The EP algorithm decouples these domains,allowing independent iterative detection of antenna indices and optimal demodulation of constellation bits.This method effectively reduces computational complexity compared to existing detection schemes.Additionally,the traditional EP algorithm is extended by incorporating a variable noise variance mechanism.The second-order moment estimation of noisy random vectors is refined iteratively,improving detection robustness under varying noise conditions.Simulation experiments are conducted to evaluate the proposed scheme,and the results demonstrate superior detection performance and faster convergence across different system configurations.Results and Discussions Three detectio

关 键 词：差分空间调制 MIMO检测 期望传播 

分 类 号：TN925[电子电信—通信与信息系统]