Photonic-assisted multi-channel compressive sampling based on effective time delay pattern.

In this paper, a photonic-assisted multi-channel compressive sampling scheme is proposed with one pseudo-random binary sequence (PRBS) source and Wavelength Division Multiplexing-based time delay. Meanwhile, the restricted isometry property of sensing matrix determined by the optimized time delay pattern is analyzed. In experiment, a four-channel photonic-assisted system with 5-GHz bandwidth was set up, where four-channel PRBS signals were generated by adding fiber-induced constant time delays to four-wavelength modulated PRBS signal, and a signal composed of twenty tones was recovered faithfully with four analog-to-digital converters (ADCs) with only 120-MHz-bandwidth.

[1]  Yonina C. Eldar,et al.  From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.

[2]  Wai Lam Chan,et al.  A single-pixel terahertz imaging system based on compressed sensing , 2008 .

[3]  Bahram Javidi,et al.  Feasibility study for compressive multi-dimensional integral imaging. , 2013, Optics express.

[4]  Xianmin Zhang,et al.  Microwave spectral analysis based on photonic compressive sampling with random demodulation. , 2012, Optics letters.

[5]  George C Valley,et al.  Compressive sensing of sparse radio frequency signals using optical mixing. , 2012, Optics letters.

[6]  J M Nichols,et al.  Beating Nyquist with light: a compressively sampled photonic link. , 2011, Optics express.

[7]  Yuefeng Ji,et al.  Integrated Multifrequency Recognition and Downconversion Based on Photonics-Assisted Compressive Sampling , 2012, IEEE Photonics Journal.

[8]  R.G. Baraniuk,et al.  Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.

[9]  Mário A. T. Figueiredo,et al.  Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.

[10]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[11]  Hao Nan,et al.  Optical Analog-to-Digital Conversion System Based on Compressive Sampling , 2011, IEEE Photonics Technology Letters.