电讯技术2025，Vol.65Issue(2)：239-244,6.DOI:10.20079/j.issn.1001-893x.240612003
一种基于自适应噪声估计的CP-OTFS系统信号检测算法
A Signal Detection Algorithm for CP-OTFS Systems Based on Adaptive Noise Estimation
摘要
Abstract
For the problems that the minimum mean square error(MMSE)detection algorithm in the orthogonal time frequency space(OTFS)modulation system has overall poor performance and high computational complexity,a signal detection algorithm based on adaptive noise estimation is proposed after applying the two-dimensional discrete Fourier transform to the input-output relationship in the Delay-Doppler(DD)domain of the CP-OTFS system.Firstly,this algorithm measures the received signal power and the channel gain according to the prior information.Secondly,it uses a parameter-containing term to measure the transmitted signal power.Finally,it introduces the noise variance to complete the estimation of the noise term and conducts signal detection in combination with the MMSE criterion.The simulation results show that when the signal-to-noise ratio is 19 dB,the error rate performance of this algorithm is improved by 3.72 dB compared with that of the MMSE detection algorithm,and there is no matrix inversion involved in the operation process.It is a signal detection algorithm with overall good error rate performance and low complexity.关键词
正交时频空(OTFS)/信号检测/自适应噪声估计Key words
orthogonal time frequency space(OTFS)/signal detection/adaptive noise estimation分类
电子信息工程引用本文复制引用
潘润勇,常俊,刘夕龙,杨川,倪晨..一种基于自适应噪声估计的CP-OTFS系统信号检测算法[J].电讯技术,2025,65(2):239-244,6.基金项目
国家自然科学基金资助项目(62002312) （62002312）
云南大学专业学位研究生实践创新项目(ZC-23234914) （ZC-23234914）
