改进的压缩感知限幅噪声消除方案

doi:10.12305/j.issn.1001-506X.2021.08.37

Abstract

Abstract:

The introduction of nonlinear distortion, also known as clipping noise, makes the bit error rate of OFDM system significantly lower. In order to eliminate the clipping noise, a sparse adaptive matching tracking scheme based on advance estimation of the clipping noise position is proposed. Before the signal is sent to the channel, the position of the clipped sampling point is estimated in advance according to the amplitude value of the signal, so that the clipped noise falling in the range of the sampling point is taken as the observation value vector of the compressed perception. Then the noise is reconstructed. The advance estimation scheme can avoid the interference of channel to the location and amplitude of the noise and improve the reconstruction accuracy. The simulation results show that compared with the traditional compressed sensing algorithm, the scheme proposed in this paper improves the bit error rate of the system and the computational complexity of the algorithm.

Key words: orthogonal frequency division multiplexing (OFDM), clipping noise, advanced estimation, sparse adaptive, compressed sensing

CLC Number:

TN919.3

Ling ZHUANG, Huashuang YE. Improved clipping noise elimination scheme for compressed sensing[J]. Systems Engineering and Electronics, 2021, 43(8): 2341-2346.

Figures/Tables 5

References 18

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名称	取值
调制方式	四相相移键控
子载波数目	256
过采样因子	4

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Improved clipping noise elimination scheme for compressed sensing

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