Impulse Noise Suppression Method for Power Line Communication System Based on Iterative Adaptive Algorithm

Abstract

The invention discloses a pulse noise suppression method of a power line communication system based on an iteration adaptive algorithm. The pulse noise suppression method comprises the steps of sending a discrete time domain signal added with a cyclic prefix by a sending end; obtaining a mixed signal only including asynchronous pulse noise and colored background noise based on the discrete time domain signal which is without the cyclic prefix but with asynchronous pulse noise interference by a receiving end; obtaining a frequency spectrum of the mixed signal by utilizing the iteration adaptive algorithm; then obtaining an estimation value of the asynchronous pulse noise by adopting an inverted sequence and amplification transformation based on the mixed signal and the frequency spectrum thereof; and finally subtracting the estimation value of the pulse noise from a received signal and finishing suppression of the asynchronous pulse noise to obtain an effective signal. The pulse noise suppression method of the power line communication system based on the iteration adaptive algorithm has the advantages that the asynchronous pulse noise can be estimated and suppressed efficiently, the effective signal can be accordingly remained, and a relatively small error of mean square is obtained; and the pulse noise suppression method can be suitable for the Bernoulli Gaussian model, the Middleton class A model and the Gaussian mixture model.

Description

technical field [0001] The invention relates to an impulse noise estimation technique, in particular to an iterative adaptive algorithm-based impulse noise suppression method for a power line communication system. Background technique [0002] With the rapid development of the smart grid, power line communication (PowerLine Communication, PLC) has gradually entered people's field of vision. Power line communication is a communication method that uses power line media for data transmission. Its early research work began in the 1940s. At that time, engineers took substation switching as the research goal and studied the problems of metering and load control. However, limited by the radio frequency spectrum, the power line communication research work at that time was not carried out. It was not until the 1980s that research work on power line communication became active. However, since the power line design did not consider the transmission of data signals at the beginning, i...

AI Technical Summary

Problems solved by technology

Typical non-parametric methods have L 1 Norm Minimization Methods and Smooth L 0 Norm minimization methods, these methods can estimate the asynchronous impulse noise more accurately, so that the estimated value of the asynchronous impulse noise is subtracted from the received signal, and the suppression of the asynchronous impulse noise is completed. However, the impulse noise model applicable to these methods It is a Bernoulli Gaussian model, which is relatively simple. Under the Middleton type A model and Gaussian mixture model that are closer to the actual situation, the estimation performance of these methods is poor

Images