Channel estimation method based on multiple angle estimation in large-scale MIMO (Multiple Input Multiple Output) system

Abstract

The invention particularly relates to a channel estimation method based on multiple angle estimation in a large-scale MIMO (Multiple Input Multiple Output) system. Comprising the following steps: S1, receiving a signal sent by a base station by a receiving end, and obtaining preliminary estimation channel information according to the received signal; s2, selecting a part of preliminary estimation channel information, and constructing a Hankel matrix; s3, performing singular value decomposition on the Hankel matrix, and obtaining a reconstruction matrix according to a singular value decomposition result; s4, obtaining a plurality of multiple angles according to the plurality of characteristic values in the reconstruction matrix, and obtaining a plurality of actual arrival angles based on the plurality of multiple angles; s5, according to each actual angle of arrival, calculating to obtain multiple groups of azimuth angle of arrival estimated values and channel complex gain coefficient estimated values; s6, selecting a group of azimuth arrival angle estimation values and channel complex gain coefficient estimation values with the highest channel utilization rate; and S7, recovering channel state information based on the selected azimuth arrival angle estimated value and the channel complex gain coefficient estimated value. The influence of too close angles in multiple paths on estimation is reduced, and the channel estimation accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a channel estimation method based on double angle estimation in a massive MIMO system. Background technique [0002] In a massive MIMO system, in order to recover the transmitted signal at the transmitting end accurately at the receiving end, various measures are adopted to resist the influence of multipath effect on the transmitted signal. The realization of channel estimation needs to know the information of the wireless channel, and whether the detailed channel information can be obtained, so as to correctly demodulate the transmitted signal at the receiving end, is an important index to measure the performance of a wireless communication system. Therefore, channel estimation is a key technique in wireless communication systems. At the same time, accurate DOA estimation is crucial for the base station to perform downlink precoding / beamforming, that ...

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Problems solved by technology

[0003] For massive MIMO systems, to obtain accurate channel information in real time, it is necessary to improve the accuracy of estimation on the premise of reducing the pilot frequency as much as possible, otherwise the cost of training and feedback overhead will be too high, which will affect the real-time performance of communication

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