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MWC欠采样方法中伪随机序列的改进
引用本文:陈坤,刘志强,张斌,罗东干. MWC欠采样方法中伪随机序列的改进[J]. 黑龙江电子技术, 2014, 0(1): 39-42
作者姓名:陈坤  刘志强  张斌  罗东干
作者单位:哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室,哈尔滨150080
基金项目:2012年大学生创新创业训练计划项目资助
摘    要:最近提出的调制宽带转换器(MWC)采样方法,针对稀疏宽带模拟信号可以实现低于奈奎斯特率的不失真采样,为稀疏宽带信号采样率高的问题提供了一种欠采样方案.文中针对MWC系统在实现过程中伪随机符号序列不易精确实现的问题,提出了一种易于实现的0/1伪随机序列,简化了MWC的实现方法.通过数值仿真对MWC系统重构性能进行了检验.实验结果表明,MWC系统采用所提出的伪随机序列时仍然可以实现低于奈奎斯特率的采样,并能高概率地精确重构原信号.

关 键 词:欠采样  测量矩阵  稀疏  信号重构

Improvement of the pseudo-random sign sequences in modulated wideband converter undersampling method
CHEN KunThe Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province,Harbin University of Science and Technology,Harbin,China LIU Zhi-qiangThe Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province,Harbin University of Science and Technology,Harbin,China ZHANG BinThe Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province,Harbin University of Science and Technology,Harbin,China LUO Dong-gan. Improvement of the pseudo-random sign sequences in modulated wideband converter undersampling method[J]. , 2014, 0(1): 39-42
Authors:CHEN KunThe Higher Educational Key Laboratory for Measuring & Control Technology  Instrumentations of Heilongjiang Province  Harbin University of Science  Technology  Harbin  China LIU Zhi-qiangThe Higher Educational Key Laboratory for Measuring & Control Technology  Instrumentations of Heilongjiang Province  Harbin University of Science  Technology  Harbin  China ZHANG BinThe Higher Educational Key Laboratory for Measuring & Control Technology  Instrumentations of Heilongjiang Province  Harbin University of Science  Technology  Harbin  China LUO Dong-gan
Affiliation:CHEN Kun(The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China) LIU Zhi-qiang(The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China) ZHANG Bin(The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China) LUO Dong-gan(The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin 150080, China)
Abstract:Recently proposed modulated wideband converter (MWC) sampling method can implement sampling without distortion at a lower rate than that required by Nyquist theory,which provides an undersampling solution aiming at the issue requiring high sampling rate for sparse wideband signals.This paper,aiming at the problem that pseudo-random sign sequences in MWC system can not be implemented easily,presents a simple method employing pseudo-random sequences composed of 0/1,which can simplify the implementation of circuit.By the numerical simulation,the recovery performance of MWC is verified.The experimental results show that,while adopting the proposed psudo-random sequences,MWC system still can perform sub-Nyquist sampling,and can achieve exact recovery with overwhelming probability.
Keywords:undersampling  measurement matrix  sparsity  signal reconstruction
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