Channel prediction method for mimo closed-loop transmission system

Abstract

The invention discloses a channel prediction method for a MIMO closed-loop transmission system, which belongs to the field of digital communication. This method predicts the channel state at the next moment according to the channel state at the previous two moments, and then feeds it back to the sender for precoding. Including: the MIMO system obtains the statistical information of the channel through a period of measurement, including the Doppler frequency offset, the correlation matrix of the transmitting end and the receiving end; the receiver performs singular value decomposition on the channel matrix at the current moment and the previous moment, and the right singular Several columns of the matrix are extracted to construct two new matrices, which are modeled as two adjacent points of the Grassmannian manifold; based on the geodesic theory of the Grassmannian manifold, a geodesic line is constructed through a series of matrix transformations, and the next moment The channel state is predicted and finally fed back to the sender. Compared with the traditional prediction method, the method of the present invention is closer to the real channel state at the next moment, and has better chordal distance error performance.

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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