An Interference Cancellation-Matched Filter Channel Estimation Method for Massive MIMO Systems

Abstract

The invention discloses an interference eliminating-matching filter channel estimation method of a large-scale MIMO system. The method comprises the following steps: firstly using a pilot frequency sequence to design a linear LS channel estimation, performing iterative equalization according to the obtained channel information, interleaving and modulating to obtain prior soft information about each user modulated signal in a target cell; and meanwhile, judging according to the prior soft information of each user modulated signal to obtain the corresponding user modulated signal; reconstructing each user sending signal except the target user in the target cell according to each user modulated signal in the recovered target cell and the current channel estimation value, and subtracting the interference signals from base station receiving signals, performing matched-filtering on the difference signal and the recovered target user signal, taking the data within the period to perform the average computation, thereby obtaining a new channel estimation value, and then performing the next equalization to recover the user signal, repeating the process until the iteration is finished. Through the adoption of the method disclosed by the invention, the good channel estimation performance is realized.

Description

technical field [0001] The invention relates to an interference elimination-matched filter channel estimation method of a massive MIMO system based on iterative equalization, and belongs to the technical field of wireless communication. Background technique [0002] The MIMO system using multiple antennas at the transmitting end and receiving end can make full use of space resources and improve system capacity. It has obvious advantages and has been applied in mobile systems. In recent years, massive MIMO systems with advantages such as high power efficiency and high spectrum utilization have aroused extensive interest of researchers in the industry. But at the same time, the problem of pilot pollution restricts the performance of channel estimation in massive MIMO systems. [0003] On the other hand, iterative equalization is an equalization mechanism that combines the two substantively related links of channel equalization and error control decoding for iterative processi...

AI Technical Summary

Problems solved by technology

Among the existing methods, some of them need to be further improved due to the problem of pilot pollution; some still need to be further improved due to problems such as complexity.

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