通信学报2025，Vol.46Issue(1)：1-12,12.DOI:10.11959/j.issn.1000-436x.2025007
单比特大规模MIMO系统的非相干分布源角度参数估计方法
Angular parameter estimation method for incoherently distributed sources in one-bit massive MIMO system
摘要
Abstract
To address the challenges of high cost and power consumption in massive MIMO systems and the perfor-mance degradation of point-source-based direction of arrival estimation methods in densely multipath scenarios,an angu-lar parameter estimation method for incoherently distributed sources in one-bit massive MIMO system was proposed.Firstly,the normalized unquantized covariance matrix was recovered using the arcsine law.Secondly,a nuclear norm minimization objective function was constructed to recovery the low-rank spatial spectrum matrix,thereby achieving ac-curate estimation of two-dimensional direction of arrival.Subsequently,the noise-free signal covariance matrix was re-constructed using the first-order Taylor expansion to achieve accurate angular spread estimation.Finally,the Cramér-Rao bound for one-bit incoherently distributed source angle parameter estimation was derived,providing a theoretical basis for performance analysis.Simulation results demonstrate that under conditions of a 10 dB signal-to-noise ratio,100 snap-shots,and 36 array elements,the proposed method achieves direction of arrival and angular spread estimation accuracies of 0.91° and 1.12° respectively,which represents a significant performance improvement over existing one-bit methods.Furthermore,the computational time is moderate,achieving a commendable balance between estimation accuracy and computational efficiency,thereby enhancing its potential for practical implementation in one-bit massive MIMO systems.关键词
单比特大规模MIMO/非相干分布源/核范数最小化/角度参数估计/克拉美罗界Key words
one-bit massive MIMO/incoherently distributed source/nuclear norm minimization/angular parameter esti-mation/Cramér-Rao bound分类
电子信息工程引用本文复制引用
刘亚鹏,高洪元,张志伟,马静雅..单比特大规模MIMO系统的非相干分布源角度参数估计方法[J].通信学报,2025,46(1):1-12,12.基金项目
国家自然科学基金资助项目(No.62372131) （No.62372131）
黑龙江省自然科学基金资助项目(No.LH2020F017) The National Natural Science Foundation of China(No.62372131),The Natural Science Foundation of Hei-longjiang Province(No.LH2020F017) （No.LH2020F017）
