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基于压缩感知的OFDM系统非线性失真恢复算法 被引量：1

Recovery of Nonlinearly Distorted Signals in OFDM System Based on Compressed Sensing
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摘要 针对OFDM系统中对信号直接限幅造成的非线性失真和信道估计性能下降,提出1种级联限幅及基于压缩感知的非线性失真恢复算法.该算法通过发送端的2次限幅操作,降低了导频处的非线性失真.在接收端利用压缩感知技术对非线性噪声进行估计并补偿.仿真表明,该算法能够有效消除非线性噪声对信道估计影响,提高信道估计性能,与迭代消除非线性失真算法相比,具有更好的峰均比抑制能力. A cascade clipping and nonlinear distortion algorithm based on compressed sensing（CS） is proposed to improve the performance of channel estimation in OFDM system, It enhance the performance of channel by reducing the nonlinear distortion at the pilots subcarrier. A CS-based method can be employed to estimation the clipping noise due to the inherent time-domain sparsity of nonlinear noise and then it used to compensate the clipped symbols at the receiver. Simulation results show that the proposed algorithm significantly improves the performance of channel estimation. Compared with the iteratively algorithm,this algorithm have a stronger clipping resist capability.
作者 巨阿强 戈立军 李春雨 缪竟鸿
机构地区 天津工业大学电子与信息工程学院
出处 《南开大学学报（自然科学版）》 CAS CSCD 北大核心 2015年第4期21-25,共5页 Acta Scientiarum Naturalium Universitatis Nankaiensis
基金 国家自然科学基金青年基金(61302062) 天津市应用基础及前沿技术研究计划青年基金(13JCQNJC00900)
关键词 正交频分复用 峰均比 压缩感知 限幅法 orthogonal frequency division multiplexing （OFDM） peak to average power ratio （PAPR） compressed sensing （CS） clipping
分类号 TN911.72 [电子电信—通信与信息系统]
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参考文献14

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南开大学学报（自然科学版）
2015年 第4期

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