Lattice reduction precoding for underwater optical imaging MIMO system

Yitao Zhang; Yanlong Li; Jielin Fu

doi:10.1117/12.2581327

10 November 2020 Lattice reduction precoding for underwater optical imaging MIMO system

Yitao Zhang, Yanlong Li, Jielin Fu

Proceedings Volume 11604, Optics Frontiers Online 2020: Optical Communications and Networks; 116040C (2020) https://doi.org/10.1117/12.2581327
Event: Optics Frontiers Online 2020: Optical Communications and Networks (OFO-2), 2020, Online Only

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.

Citation Download Citation

Yitao Zhang, Yanlong Li, and Jielin Fu "Lattice reduction precoding for underwater optical imaging MIMO system", Proc. SPIE 11604, Optics Frontiers Online 2020: Optical Communications and Networks, 116040C (10 November 2020); https://doi.org/10.1117/12.2581327

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KEYWORDS

Light emitting diodes

Imaging systems

Detection and tracking algorithms

Signal detection

Receivers

Lawrencium

Optical imaging

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