一种基于自适应噪声估计的CP-OTFS系统信号检测算法OA北大核心

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.