信号处理2026，Vol.42Issue(8)：1238-1247,10.DOI:10.12466/xhcl.2026.08.004
ODMA无源随机接入中的联合信道估计与数据检测算法
Joint Channel Estimation and Data Detection for ODMA in Unsourced Random Access
摘要
Abstract
For the massive machine-type communication(mMTC)scenario in the Internet of Things(IoT),unsourced random access(URA)is an effective potential technology that supports uncoordinated access for a large number of us-ers based on a shared codebook mechanism.In existing URA decoding schemes,channel estimation and user data detec-tion are mostly implemented separately.The error propagation of estimation and detection affects the information detec-tion and decoding performance of the system in the presence of high load or low signal-to-noise ratio.To solve this prob-lem,herein we proposed a joint channel estimation and data detection algorithm based on on-off division multiple access(ODMA)in the URA system.This algorithm adopted bilinear generalized approximate message passing(BiG-AMP),which enabled the joint estimation and detection of channel parameters,active patterns,and user data by alternately up-dating between the channel and signal matrices.In addition,an initialization strategy assisted by a"pilot"was intro-duced to enhance the convergence speed and numerical stability of the algorithm.Numerical simulation results showed that within the given range of the number of active users and the pilot length,the normalized mean square error(NMSE)of the channel estimation and data detection of the proposed algorithm was superior to that of separated chan-nel estimation and data detection algorithms.Compared with the classic separated URA scheme based on the pilot,this algorithm afforded a performance gain of up to 1.1 dB.关键词
物联网/无源随机接入/开关多址接入/联合信道估计和数据检测Key words
Internet of Things/unsourced random access/on-off division multiple access/joint channel estimation and data detection分类
信息技术与安全科学引用本文复制引用
杨博,刘祖军,孙德春..ODMA无源随机接入中的联合信道估计与数据检测算法[J].信号处理,2026,42(8):1238-1247,10.基金项目
国家自然科学基金(62171345) The National Natural Science Foundation of China(62171345) （62171345）
