摘要
针对毫米波大规模多输入多输出(MIMO)系统在接收端使用高精度模/数转换器的成本和功耗高等问题,文章提出了一种采用1 bit量化器的信道估计算法。该算法首先根据量化后的接收信号计算条件期望估计量化前的接收信号,然后利用毫米波信道在角度域的稀疏性,使用正交匹配追踪算法,每次迭代选取与当前残差最大相关的原子进行最小二乘估计。为了提升算法的有效性,文章同时提出了每次迭代选取多个原子的解决方案。仿真结果表明,文章所提算法的平均归一化均方误差是期望最大(EM)算法的1/10,且每次迭代运行时间为EM算法的1/20,其在有效性和可靠性等方面均有较大提升,在毫米波大规模MIMO系统信道估计应用中有一定的实用价值。
Considering the cost and large power consumption of high-resolution analog-to-digital converters in mmWave massive Multiple Input Multiple Output(MIMO)system, we develop a channel estimation algorithm with one-bit quantizer. Given the quantized received signal, the conditional expectation is first calculated to estimate the unquantized received signal. Based on the sparsity of mmWave channel in the angular domain, the column most correlative to the current residual is selected for least square estimation in each iteration. We also propose a solution to select multiple atoms in each iteration for the efficiency improvement. The simulation results show that the average normalized mean square error of the proposed algorithm and the running time of each iteration are 1/10 and 1/20 of the Expectation Maximization(EM) algorithm. It can be seen that the algorithm has improved performance and higher reliability, with certain practical value in the channel estimation application of mmWave large-scale MIMO systems.
作者
李心安
余开文
Li Xin-an;Yu Kai-wen(Key Laboratory of New Generation Broadband Mobile Communication Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《光通信研究》
2021年第6期68-71,76,共5页
Study on Optical Communications
基金
国家科技重大专项资助项目(2018ZX03001026-002)。
关键词
毫米波
1
bit量化器
信道估计
正交匹配追踪
mmWave
one-bit quantizer
channel estimation
orthogonal matching pursuit
