Self-interference suppression method based on block diagonalization and triangular decomposition

Abstract

The invention discloses a self-interference suppression method based on block diagonalization and triangular decomposition. The implementation steps are as follows: at first, obtaining a channel matrix of each user, the block diagonalization algorithm is used to obtain the first layer precoding matrix of each user, multiplying the first layer precoding matrix of each user by the channel matrix ofthe corresponding user, the second layer precoding matrix of each user is obtained by triangular decomposition and singular value decomposition of the equivalent channel matrix of each user. Finally,the conjugate transpose matrix of the left unitary matrix of the lower triangular matrix of each user is used as the reception decoding matrix of each user. The second layer precoding matrix of each user is obtained by triangular decomposition and singular value decomposition. The invention can eliminate the interference between users, restrain the interference of multiple antennas of the users themselves, improve the transmission rate of the system users and improve the transmission performance of the system downlink.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a self-interference suppression method based on BD (Block diagonalization) and lower upper triangular decomposition (LU) in the technical field of wireless communication. The present invention can be used in a multi-user multi-input multi-output MU-MIMO (Multi-user multi-input multi-output) downlink network from a base station to a user composed of a base station and multiple multi-antenna users to eliminate inter-user interference, Suppress user's own multi-antenna interference. Background technique [0002] The multi-user multiple-input multiple-output MU-MIMO system can double the channel capacity by using the multi-antenna structure, and has high spectrum utilization efficiency, which has become a research hotspot in recent years. However, compared with a single-input single-output SISO (Single-input single-output) system, a multi-user multiple-input multiple-out...

AI Technical Summary

Problems solved by technology

Although this method solves the problem of multi-user interference in the MU-MIMO downlink communication system, the disadvantage of this method is that the singular values ​​obtained by directly using the singular value decomposition SVD are relatively scattered. Reduce system user transmission rate

However, the disadvantage of this method is that since this method needs to construct an interference matrix for each user and each antenna, and the constructed interference matrix has a large dimension, the downlink transmission performance of the system is reduced

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