Performance Research of Clipping LDPC-OFDM System Based on MMSE Iterative Reception Technology

Liu Mingzhu, Zhang Haixia, Li Xin, Lin Jizheng
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Abstract

One of the efficient ways to reduce the peak-to-average power ratio in multi-carrier system is clipping method, but it can cause the outspread of frequency spectrum, and then increase the nonlinear distortion and clipping noise. At the same time, it also can worsen the bit error ratio performance in multi-carrier system. In this paper, a nonlinear LDPC-OFDM system has been the research background for reducing the high clipping noise and distortion in clipping system. A novel algorithm named minimum mean square error (MMSE) iterative reception algorithm has been proposed in this paper, which is based on Ochiai clipping distortion mitigating algorithm and clipping distortion reconstructing iteration (CDRI) method. The MMSE iterative reception algorithm combined MMSE algorithm with iterative reception method to reduce clipping noise and distortion under various iteration times. At the same time, LLR-BP process has been intruded to decode LDPC and optimize BER performance. On the other hand, clipping process in LDPC-OFDM system has been mapped to a series of clipping index coding, and maximum likelihood (ML) decision algorithm has been used to recognize them.
基于MMSE迭代接收技术的截波LDPC-OFDM系统性能研究
在多载波系统中,降低峰均功率比的有效方法之一是削波法,但它会引起频谱的扩展,从而增加非线性失真和削波噪声。同时,它也会使多载波系统的误码率性能恶化。本文以一种非线性LDPC-OFDM系统为研究背景,以降低裁剪系统中的高裁剪噪声和失真。本文提出了一种基于Ochiai裁剪失真缓解算法和裁剪失真重构迭代(CDRI)方法的最小均方误差(MMSE)迭代接收算法。MMSE迭代接收算法将MMSE算法与迭代接收方法相结合,在不同的迭代次数下降低了裁剪噪声和失真。同时,引入LLR-BP过程对LDPC进行解码,优化误码率性能。另一方面,将LDPC-OFDM系统中的裁剪过程映射为一系列裁剪索引编码,并采用最大似然(ML)决策算法对其进行识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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