基于LMMSE的滑动相关信道估计算法

Sliding correlation channel estimation algorithm based on LMMSE

5G NR系统中,接收端信道估计过程一般不可忽略噪声的影响,并且采用传统的线性最小均方误差(LMMSE)信道估计算法的运算量将会变的巨大,所以提出了滑动相关矩阵的方法来降低算法的复杂度。首先,通过仿真得到最优的滑动相关矩阵以及每次滑动所输出的子载波数,然后通过滑动窗依次输出频域子载波的信道估计值从而完成整个信道估计;在时域,通过混合插值方法进一步提升了系统性能。仿真结果表明,算法相比于LMMSE算法误码率升高小于1 dB,但是复杂度降低了99.74%,满足工程需求。

In the 5G NR system,the influence of noise cannot be ignored in the channel estimation process at the receiving end,and the traditional LMMSE channel estimation algorithm will have a huge computational load.Therefore,a sliding correlation matrix method based on DMRS is proposed to reduce the complexity of the algorithm.Firstly,the optimal sliding correlation matrix and the number of subcarriers output for each sliding are obtained through simulation,and then output the channel estimation values of frequency domain subcarriers through the sliding window to complete the entire channel estimation;In the time domain,the system performance is further improved by the hybrid interpolation method.Simulation results show that compared with the LMMSE algorithm,the bit error rate of the algorithm is improved by less than 1 dB,and the complexity is reduced by 99.74%,which meets the needs of engineering.