南京邮电大学学报（自然科学版）2026，Vol.46Issue(2)：11-18,8.DOI:10.14132/j.cnki.1673-5439.2026.02.002
基于最大比合并的低复杂度OTFS系统信号检测算法
A low-complexity signal detection algorithm for OTFS systems based on maximum ratio combining
摘要
Abstract
In high-speed multipath environments,the orthogonality of orthogonal frequency division mul-tiplexing(OFDM)subcarriers is severely compromised by frequency dispersion.In contrast,orthogonal time frequency space(OTFS)modulation shows promising potential thanks to its excellent resistance to multipath and Doppler interferences.To reduce the signal detection complexity in OTFS systems,this pa-per proposes a low complexity signal detection algorithm based on maximal ratio combining.First,the al-gorithm reduces complexity by employing a zero-padding technique and exploiting the circulant structure property of channel matrices.Second,it employs the maximal ratio combining algorithm to extract and co-herently combine the received multipath signal components,thereby improving the signal-to-noise ratio of the combined signal.Third,the generalized minimal residual algorithm is utilized to simplify the inver-sion operation of the channel gain matrix,further lowering the algorithm's complexity.The comparative analysis incorporating computational complexity,bit error rate,and convergence speed of different algo-rithms demonstrates that the proposed algorithm achieves a faster convergence speed and lower computa-tional complexity while maintaining a competitive bit error rate performance.关键词
OTFS/最大比合并/广义最小残差/信号检测Key words
orthogonal time frequency space(OTFS)/maximal ratio combining/generalized minimal re-sidual/signal detection分类
信息技术与安全科学引用本文复制引用
周围,张艺,黄华,杨瑜,向波..基于最大比合并的低复杂度OTFS系统信号检测算法[J].南京邮电大学学报（自然科学版）,2026,46(2):11-18,8.基金项目
国家自然科学基金(61701062)和重庆市基础与前沿研究计划(cstc2019jcyj-msxmX0079)资助项目 （61701062）
