基于SL0的多波段信号替代恢复算法

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2013-05-06 DOI:10.1109/I2MTC.2013.6555392

Xiyuan Peng, Miao Zhang, Jingchao Zhang, Hongpeng Li, Ning Fu, Liyan Qiao, Hongwei Xu

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引用次数: 1

摘要

多波段信号是现代通信领域的一种典型信号，它的频谱是几个窄带信号在频域上的和。基于压缩感知(CS)理论的调制宽带转换器(MWC)系统可以在不以载波频率为前提的情况下以亚奈奎斯特速率对多波段信号进行采样。本文提出了一种新的MWC恢复策略，利用同时光滑的l0范数(SL0)从亚奈奎斯特采样数据中重构原始信号。该方法利用连续函数逼近0范数，提高了重建精度。仿真结果表明，该算法优于原有的同步正交匹配追踪(SOMP)算法。

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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An alternative recovery algorithm based on SL0 for multiband signals

Multiband signal is a typical signal in the realm of modern communication, whose spectrum is the sum of several narrow band signals in frequency domain. Modulated Wideband Converter (MWC) system, which is based on the emerging theory of Compressed Sensing (CS), can sample multiband signals at a sub-Nyquist rate without carrier frequencies as a precondition. In this paper, a novel recovery strategy for MWC is proposed, exploiting Simultaneous Smoothed ℓ0 Norm (SL0), to reconstruct original signal from sub-Nyquist sampling data. This method approximates ℓ0 norm using a continuous function, which can improve the reconstruction accuracy. Simulation results demonstrate that the proposed algorithm is superior to the original Simultaneous Orthogonal Matching Pursuit (SOMP) algorithm.

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2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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