Photonics-enabled sub-Nyquist radio frequency sensing based on temporal channelization and compressive sensing

Wang, Chao; Gomes, Nathan J.

doi:10.1109/mwp.2014.6994567

Cited by 12 publications

(6 citation statements)

References 19 publications

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“…DFT has also been widely employed in a diverse range of microwave photonics applications, such as microwave arbitrary waveform generation [23,39], microwave spectrum sensing [40,41], photonic ADC [24,42,43], real-time spectroscopy [44][45][46][47], optical sensor interrogation [48,49], and ultrafast continuous imaging [50,51]. In this paper, we review the recent development that we have made in this area.…”

Section: Open Accessmentioning

confidence: 99%

“…However, sophisticated high-speed electronics is usually required in the PRBS generator and mixer. Most recently, we have proposed a novel sub-Nyquist microwave spectrum sensing scheme that combines temporal channelization and compressive sensing [41], featuring enhanced bandwidth with single-shot measurement capability while maintaining high measurement resolution. Compared to the system in [121], a compressive sensing module is incorporated in the system to manipulate the modulated optical pulse before it is sent to the optical channelizer for sampling.…”

Section: Dft For Microwave Spectrum Sensingmentioning

confidence: 99%

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Dispersive Fourier Transformation for Versatile Microwave Photonics Applications

Wang

2014

Photonics

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Dispersive Fourier transformation (DFT) maps the broadband spectrum of an ultrashort optical pulse into a time stretched waveform with its intensity profile mirroring the spectrum using chromatic dispersion. Owing to its capability of continuous pulse-by-pulse spectroscopic measurement and manipulation, DFT has become an emerging technique for ultrafast signal generation and processing, and high-throughput real-time measurements, where the speed of traditional optical instruments falls short. In this paper, the principle and implementation methods of DFT are first introduced and the recent development in employing DFT technique for widespread microwave photonics applications are presented, with emphasis on real-time spectroscopy, microwave arbitrary waveform generation, and microwave spectrum sensing. Finally, possible future research directions for DFT-based microwave photonics techniques are discussed as well.

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Section: Open Accessmentioning

confidence: 99%

Section: Dft For Microwave Spectrum Sensingmentioning

confidence: 99%

Dispersive Fourier Transformation for Versatile Microwave Photonics Applications

Wang

2014

Photonics

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“…In the reconstruction process the input sparse signal is recovered at or above the Nyquist rate from the measurement results with a recovery algorithm. The random demodulator and modulated wideband converter (MWC) are two well-developed CS techniques for acquisition of wideband sparse signals [2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, implementation of CS with photonic techniques has attracted lots of research interest, since it offers higher bandwidth by moving the operations of modulation, mixing, and filtering into the optical domain [2][3][4][5][6][7][8][9][10][11][12][13][14][15]. At this point, several photonic CS schemes have been proposed.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of compressive sensing with optical mixing using a spatial light modulator

et al. 2015

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Compressive sensing (CS) in a photonic link has a high potential for acquisition of wideband sparse signals. In CS it is necessary to mix the input sparse signal with a pseudorandom sequence prior to subsampling. A pulse shaper with a spatial light modulator (SLM) can be used in photonic CS as an optical mixer to improve the speed of mixing. In this approach, the sparse signal is modulated on a chirped optical pulse and the pseudorandom sequence is recorded on the SLM within the pulse shaper. The optical mixing in the frequency domain is realized based on the principle of frequency-to-time mapping. In this paper, we investigate the performance and limitations of photonic CS with an SLM in detail. A theoretical model to describe optical mixing based on frequency-to-time mapping is presented. We point out that there is an upper limit on the length of the pseudorandom sequence recorded on the SLM that can be mixed with the sparse signal due to the condition of the far-field approximation of the frequency-to-time mapping. Since the length of the pseudorandom sequence is one of the major factors that affect the signal recovery performance in CS, this limitation should be fully considered in the system design of the CS with optical mixing in the frequency domain. We present numerical and experimental results to verify the theoretical findings. Discussion on the performance improvement is also presented.

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Photonic compressive sensing with a micro-ring-resonator-based microwave photonic filter

Chen

Ding²,

Zhu

et al. 2016

Optics Communications

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Photonics-enabled sub-Nyquist radio frequency sensing based on temporal channelization and compressive sensing

Cited by 12 publications

References 19 publications

Dispersive Fourier Transformation for Versatile Microwave Photonics Applications

Dispersive Fourier Transformation for Versatile Microwave Photonics Applications

Analysis of compressive sensing with optical mixing using a spatial light modulator

Photonic compressive sensing with a micro-ring-resonator-based microwave photonic filter

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