Precoding matrix optimization and inter-symbol interference cancellation algorithm in power line multiple-input multiple-output transmission

Abstract

This article addresses the communication bottleneck issue in the intelligent upgrade of low-voltage distribution networks of China Southern Power Grid, focusing on the joint optimization of precoding matrices and inter-symbol interference cancellation techniques based on the Multiple-Input Multiple-Output (MIMO) architecture. By constructing a physical layer model that accounts for the spatial correlation of impulse noise, an iterative weighted least squares mean square error (IWLS-MSE) adaptive precoding algorithm is proposed. This method combines a pilot-assisted recursive least squares iterative decision feedback equalization architecture to achieve synergistic suppression of channel time-varying and multipath effects. Simulation experiments show that under the condition of a signal-to-noise ratio of 25 dB, the system throughput is improved by 35.1% compared to the traditional MMSE algorithm, and the error rate is maintained at the level of 10⁻⁴ when the guard interval reaches 200 μs; Continuous 24-hour communication testing shows that the online availability rate reaches 98.7%, and when the success rate of single antenna mode connection is less than 50%, MIMO joint decision can be improved to 82%. This solution successfully embeds the IPv6 unified protocol stack, providing a highly reliable data transmission foundation for distribution automation services.