Microwave spectral analysis based on photonic compressive sampling with random demodulation

被引：43

作者：

Chi, Hao ^{[2
]}

Mei, Yuan ^{[2
]}

Chen, Ying ^{[2
]}

Wang, Donghui ^{[1
]}

Zheng, Shilie ^{[2
]}

Jin, Xiaofeng ^{[2
]}

Zhang, Xianmin ^{[2
]}

机构：

[1] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310027, Zhejiang, Peoples R China

[2] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China

来源：

OPTICS LETTERS | 2012年 / 37卷 / 22期

基金：

中国国家自然科学基金;

关键词：

NYQUIST; SIGNALS;

D O I：

10.1364/OL.37.004636

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this Letter, we present a photonic compressive sampling scheme based on optical sampling and random demodulation for microwave spectral analysis. A novel (to our knowledge) approach to realizing the multiplication of a pseudorandom binary sequence and the input microwave signal of interest in the optical domain is proposed, which largely simplifies the implementation of the compressive sampling. A spectrally sparse signal can be successfully captured by an electrical digitizer with a sampling rate much lower than the Nyquist rate with the help of random demodulation and the sparse reconstruction algorithm. Identification of the signals with multiple frequency components is successfully demonstrated. (C) 2012 Optical Society of America

引用

页码：4636 / 4638

页数：3

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