Channel prediction method for MIMO closed-loop transmission system

Abstract

The invention discloses a channel prediction method of an MIMO closed-loop transmission system, and belongs to the field of digital communication. The method comprises the steps of predicting the channel state of the next moment according to the channel states of the former two moments, and then feeding back to a sending end for precoding; using the MIMO system to obtain the statistical information of a channel through the measurement for a period of time, wherein the statistical information comprises the Doppler frequency offset and a correlation matrix of a sending end and a receiving end; using a receiver to perform singular value decomposition on the channel matrixes at the current moment and the previous moment, extracting a plurality of columns of the right singular matrix to construct two new matrixes, and modeling as two adjacent points of the Grassmannian manifold; based on the geodesic theory of Grassmannian manifold, constructing a geodesic through the series matrix transformation, predicting the channel state of the next moment, and finally fedding back to the sending end. Compared with a traditional prediction method, the method is closer to the real channel state at the next moment, and the chord distance error performance is better.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a channel prediction method of a MIMO closed-loop transmission system. Background technique [0002] The multi-antenna communication system is equipped with multiple antennas at the receiving end, which can make full use of space resources, has a high communication rate and reliable communication quality, and has attracted extensive attention at home and abroad in recent years. Due to the outstanding advantages of the system, it has been adopted as a key technology in 4G and 5G communication systems. [0003] Channel state information (CSI) is very important for communication systems, it can be used to decode received data, or fed back to the sender for preprocessing to improve system performance. CSI is usually obtained by channel estimation, which requires the sending end to insert pilots at regular intervals for assistance. However, when the channe...

AI Technical Summary

Problems solved by technology

The overall performance of the algorithm is good, but there is a problem of slow convergence

"Grassmannian subspace prediction for precoded spatial multiplexing MIMO with delayed feedback", IEEE Signal Processing Letters, 2011, 18(10): 555-558) proposed a Grassmannian subspace prediction technology, but its chord error performance is not ideal, and the prediction accuracy remains to be seen improve

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