| 摘要: |
| 针对正交时频空(Orthogonal Time Frequency Space,OTFS)调制系统中最小均方误差(Minimum Mean Square Error,MMSE)检测算法性能整体不佳以及计算复杂度高的问题，通过对CP-OTFS系统时延-多普勒（Delay-Doppler,DD）域中的输入-输出关系运用二维离散傅里叶变换后，提出一种基于自适应噪声估计的检测算法。该算法首先根据先验信息衡量接收信号功率和信道增益，然后用一个含参项衡量发送信号功率，最后引入噪声方差完成对噪声项的估计并结合MMSE准则进行信号检测。仿真结果表明，当信噪比为19 dB时，该算法的误码率性能比MMSE检测算法提升了3.72 dB且在运算过程中不涉及矩阵的求逆，是误码率性能整体较好与低复杂度的信号检测算法。 |
| 关键词: 正交时频空（OTFS） 信号检测 自适应噪声估计 |
| DOI：10.20079/j.issn.1001-893x.240612003 |
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| 基金项目:国家自然科学基金资助项目(62002312)；云南大学专业学位研究生实践创新项目(ZC-23234914) |
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| A Signal Detection Algorithm for CP-OTFS Systems Based on Adaptive Noise Estimation |
| PAN Runyong,CHANG Jun,LIU Xilong,YANG Chuan,NI Chen |
| (School of Information,Yunnan University,Kunming 650500,China) |
| 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. |
| Key words: orthogonal time frequency space(OTFS) signal detection adaptive noise estimation |
