A Massive MIMO Channel Estimation Algorithm Design Combined the SVD Method with LS Signal Detection

Abstract

In order to meet people's demand for communication rate, massive MIMO technology has been introduced into 5G field, which has become a research hotspot due to its advantages of improving system capacity, ensuring communication quality and reducing communication cost. The acquisition of channel state information (CSI) is the basis of massive MIMO, however, the accuracy of existing channel estimation techniques is difficult to reach a satisfactory standard, especially when the number of antennas is small. In order to correct the shortcomings, this paper introduces the idea of least square signal detection on the basis of the traditional singular value decomposition (SVD) channel estimation algorithm. The joint algorithm uses SVD algorithm to calculate the channel matrix as the initial value of the signal detection, and then re-estimate the channel state by using the detected signal and the transmitted pilot. The theory and simulation show that the proposed estimation algorithm can effectively improve the accuracy of the estimation results compared with the traditional channel estimation algorithm.