电讯技术2025，Vol.65Issue(2)：205-213,9.DOI:10.20079/j.issn.1001-893x.240112001
一种低复杂度的OTFS系统信号检测算法
A Low Complexity Signal Detection Algorithm for OTFS Systems
摘要
Abstract
For the problem of poor equalizer performance and high complexity of the linear filter in orthogonal time frequency space(OTFS)modulation systems,a signal detection algorithm for OTFS systems combining lower-upper(LU)decomposition and iterative Minimum Mean Square Error(IMMSE)equalizer(LU-IMMSE)is proposed.According to the characteristics of the sparse channel matrix in the Doppler-delay domain,a low-complexity LU decomposition method is proposed to avoid matrix inversion calculation of the MMSE equalizer.On the premise of guaranteeing the performance of the equalizer,the complexity of the equalizer is reduced.Moreover,an iterative MMSE equalizer is introduced into the OTFS systems,which approximates the optimal estimate of the MMSE equalizer by iterative updating the prior information such as the mean and variance.The proposed LU-IMMSE algorithm can effectively reduce the bit error rate(BER)by adjusting the iterative times.When the energy per bit ratio noise power spectral density is at 8 dB,the LU-IMMSE equalizer after five iterations reduces the BER by about 11 dB compared with the traditional MMSE equalizer.With the increase of iterative times,the computational complexity is reduced compared with the traditional iterative MMSE algorithm.When the maximum delay coefficient is four and the number of signs is sixteen,the proposed low-complexity LU decomposition method reduces the computational complexity of matrix inversion by about 91.72%compared with the direct inversion method.关键词
正交时频空(OTFS)/信号检测/最小均方误差均衡/三角分解Key words
orthogonal time frequency space(OTFS)/signal detection/minimum mean square error equalizer/LU decomposition分类
电子信息工程引用本文复制引用
陈发堂,陈甲杰,夏麒煜,黄梁..一种低复杂度的OTFS系统信号检测算法[J].电讯技术,2025,65(2):205-213,9.基金项目
重庆市自然科学基金创新发展联合基金(中国星网)(CSTB2023NSCQ-LZX0114) （中国星网）
