基于LMMSE的滑动相关信道估计算法
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1.中北大学 太原 030051; 2.中电科思仪科技(安徽)有限公司 蚌埠 233010;3. 电子测量仪器技术蚌埠市技术创新中心 蚌埠 233010

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TN929.5

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Sliding correlation channel estimation algorithm based on LMMSE
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1. North University of China, Taiyuan 030051, China; 2. Ceyear Technologies Co., Ltd (Anhui) Co., Ltd, Bengbu 233010, China; 3. Bengbu Technology Innovation Center on Electronic Measurement Instrumentation Technology, Bengbu 233010, China

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    摘要:

    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1dB,但是复杂度降低了99.74%,满足工程需求.

    Abstract:

    In the 5GNR 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 1dB, and the complexity is reduced by 99.74%, which meets the needs of engineering.

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赵文超,刘祖深,许虎.基于LMMSE的滑动相关信道估计算法[J].电子测量技术,2022,45(10):39-43

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  • 在线发布日期: 2024-05-07
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