Interference elimination method based on Givens conversion block diagonalization precoding

Abstract

The invention discloses an interference elimination method based on Givens conversion block diagonilization precoding. The method specifically comprises the first step of estimating a channel matrix which participates the precoding; the second step of conducting QR resolving on the channel matrix of a united user after conjugating transposition; the third step of resolving pseudo-inverse of the channel matrix of the united user; the fourth step of constructing the first half of precoding matrix; the fifth step of constructing the second half of the precoding matrix; the sixth step of obtaining the precoding matrix of final union. According to the interference elimination method based on the Givens conversion block diagonilization precoding, orthogonal matrix with better orthogonality is obtained, thus more accurate standard orthogonal basis of user channel matrix null space is obtained, and finally the needed precoding matrix of the final union is obtained. The interference elimination method based on the Givens conversion block diagonalization precoding can be used in a multi-user communication system to eliminate interference among users and improve the quality of signals received by the users and the stability of the system.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to an interference elimination method based on Givens transform block diagonal precoding in the technical field of wireless communication precoding. The invention can be used in a multi-user communication system to eliminate inter-user interference and improve the quality of signals received by users and the stability of the system. Background technique [0002] Precoding technology refers to preprocessing the mixed signal before the downlink base station broadcasts the signal to multiple users, so that the user receiving end can easily separate the useful signal from the mixed receiving signal, reducing or eliminating the interference between users . Since the processing capability of the base station is much larger than that of the user end, the precoding technology also releases the processing pressure of the user end. [0003] Precoding technologies are generally c...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that the computational complexity is still high when calculating the pseudo inverse of the null space of the user channel matrix

However, the disadvantage of this method is that the bit error rate of the user signal in the system is still high, especially when the signal reception quality is poor in low signal-to-noise ratio scenarios

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