Research of key issues of photonic-assisted compressive sensing technology

ZHA Shengming; ZHU Zhijing; CHI Hao

doi:10.7510/jgjs.issn.1001-3806.2016.04.023

In order to ensure the zero-mean property of measurement matrix during the process of acquiring wideband signal by using photonic compressive sensing, a parallel structure based on Mach-Zehnder modulators was used to implement the mixing function of input signal and zero-mean random sequence. At the same time, digital domain compensation was employed to reduce the negative effect of modulator nonlinearity on recovery performance. In this way the system had an improved recovery performance within a certain range. The results show that the improved photonic compressive sensing performs better when acquiring wideband sparse signals.

Research of key issues of photonic-assisted compressive sensing technology

Corresponding author: CHI Hao, chihao@zju.edu.cn

1. College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Received Date: 2015-05-21

Accepted Date: 2015-07-13

Available Online: 2016-07-25

Abstract: In order to ensure the zero-mean property of measurement matrix during the process of acquiring wideband signal by using photonic compressive sensing, a parallel structure based on Mach-Zehnder modulators was used to implement the mixing function of input signal and zero-mean random sequence. At the same time, digital domain compensation was employed to reduce the negative effect of modulator nonlinearity on recovery performance. In this way the system had an improved recovery performance within a certain range. The results show that the improved photonic compressive sensing performs better when acquiring wideband sparse signals.

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Reference (15)

[1]	SHANNONC E. Communication in the presence of noise[J].Proceedings of the IRE, 1949, 37(1):10-21.
[2]	CANDES E J, ROMBERGJ K, TAO T. Robust uncertainty principles:exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactionson on Information Theory, 2006, 52(2):489-509.
[3]	DONOHO D L. Compressed sensing[J].IEEE Transactionson on Information Theory, 2006, 52(4):1289-1306.
[4]	YAO J P. Microwave photonics[J].Journal of Lightwave Technology, 2009, 27(3):314-335.
[5]	CANDES E J, ROMBERG J K, TAO T. Stable signal recovery from incomplete and inaccurate mesurements[J].Communications on Pure and Applied Mathematics, 2006,59(8):1207-1223.
[6]	BARANIUK R, DAVENPORT M, DEVORE R, et al. A simple proof of the restricted isometry property for random matrices[J].Constructive Approximation, 2008, 28(3):253-263.
[7]	CHI H, ZHANG X M, SHEN L F. Inter-modulation distortion analysis for single-drive mach-zehnder modulator[J].Acta Optica Sinica, 2006, 26(11):1619-1622(in Chinese).
[8]	REN T T, XU Ch, ZHENG Sh L, et al. Effect of dither tone-based electro-optic modulator bias control on radio-frequency signal[J].Laser Technology, 2013, 37(6):773-776(in Chinese).
[9]	FIGUEIREDO M A T, NOWAK R D, WRIGHT S J. Gradient projection for sparse reconstruction:application to compressed sensing and other inverse problems[J].IEEE Journal of Selected Topics in Signal Processing, 2007, 1(4):586-597.
[10]	TROPP J A, LASKA J N, DUARTE M F, et al. Beyond Nyquist:efficient sampling of sparse band-limitedsignals[J].IEEE Transactionson on Information Theory, 2010, 56(1):520-544.
[11]	NICHOLS J M, BUCHOLTZ F. Beating Nyquist with light:a compressively sampled photonic link[J].Optics Express, 2011, 19(8):7339-7348.
[12]	ROSELLI L, BORGIONI V, ZEPPARELLI F, et al. Analog laser predistoition formultiservice radio-over-fiber systems[J].Journal ofLightwave Technology, 2003, 21(5):1211-1223.
[13]	DUAN R M, XU K, DAI J, et al. Digital linearization technique for IMD3 suppression in intensity-modulated analog optical links[C]//2011 International Topical Meeting on Microwave Photonics Jointly Held with the 2011 Asia-Pacific Microwave Photonics Conference.New York,USA:IEEE,2011:234-237.
[14]	McLAUGHLIN C V, NICHOLS J M, BUCHOLTZ F. Basis mismatch in a compressively sampled photonic link[J].Photonics Technology Letters, 2013, 25(23):2297-2300.
[15]	DUARTE M F, BARANIUK R G. Spectral compressive sensing[J].Applied Computational Harmonic Analysis, 2013, 35(1):111-129.

Research of key issues of photonic-assisted compressive sensing technology

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