基于压缩感知的电力线脉冲噪声抑制

doi:10.19595/j.cnki.1000-6753.tces.171715

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Abstract To enhance the transmission performance of orthogonal frequency division multiplexing (OFDM) communication system over low-voltage power line, this paper proposed a kind of impulse noise suppression algorithm-optimized prior aided sparsity adaptive matching pursuit (OPA-SAMP). The algorithm used the data on empty sub-carriers in frequency domain as the measurement vector, deduced a rough estimate threshold based on the change of signal to noise ratio (SNR), and initialized the residual and step length by the priori support set of impulse noise which derived from the estimated threshold, then recovered the impulse noise by the sparse adaptive matching tracking (SAMP) iterative algorithm, finally, the impulse noise is suppressed at the receiving end. Experimental results show that the proposed algorithm has lower communication error rate and shorter running time compare with the traditional compressed sensing algorithm. What is more, the performance of the algorithm is better in case of high probability of impulse noise and large amount of transmission data.

Key words： Impulse noise compressed sensing orthogonal frequency division multiplexing power line communication

Received: 25 December 2017 Published: 17 December 2018

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TM73

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	Deng Rong
	Tan Zhouwen
	Xiao Guoxuan
	Wang Guang
	Liu Hongli

Cite this article:

Deng Rong,Tan Zhouwen,Xiao Guoxuan等. Impulse Noise Suppression in Power Line Communication Based on Compressed Sensing[J]. Transactions of China Electrotechnical Society, 2018, 33(23): 5555-5563.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.171715 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I23/5555

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