Lattice reduction precoding for underwater optical imaging MIMO system

Abstract

Aiming at the problem that the great spatial correlation between sub-channels of the underwater visible light MIMO system affects the system's error performance, a precoding algorithm based on lattice reduction is proposed. The lattice reduction algorithm makes the channel matrix more orthogonal through iterative reduction operations. The transformation matrix is used as the precoding matrix to precode the transmitted signal, which is equivalent to transmit the original signal on the channel with less correlation. It can be used for transmission to improve the signal detection performance of the system. The lattice reduction algorithm is further combined with the linear precoding algorithm to compensate for the amplification of noise caused by linear detection at the receiving end, so that the system has better error performance. The simulation results show that at a bit error rate of 10-4, compared with a system without precoding, the required signal-to-noise ratio of the system using the lattice reduction precoding algorithm is reduced by about 10dB, compared with the traditional minimum mean square error precoding, the required signal-to-noise ratio of the system using the minimum mean square error precoding based on lattice reduction is reduced by about 6dB.