Optical header recognition using time stretch preprocessing

Han, Yan; Boyraz, Özdal; Nuruzzaman, A.; Jalali, Bahram

doi:10.1016/j.optcom.2004.04.010

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…It should be noted that the structure studied in this manuscript is different from that in [17]. In [17], we reported a scheme that combines the techniques of photonic time stretch and compressive sensing, where the photonic time stretch is employed for slowing down the input high speed signals and the stretched pulse is not compressed in the time domain [29]- [31].…”

Section: Resultsmentioning

confidence: 99%

Analytical Model for Photonic Compressive Sensing With Pulse Stretch and Compression

Chi

Zhu

2019

IEEE Photonics J.

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Compressive sensing (CS) with photonic technologies provides a promising way to acquire information with reduced measurement. Photonic CS with pulse stretch and compression has been proved to be capable of capturing wideband time-domain signals at extremely high equivalent sampling rate or images at high frame rate. In this approach, an input short pulse is first stretched by propagating through a dispersive medium and then the stretched pulse is modulated by a signal to be measured and a pseudorandom bit sequence (PRBS). The stretched pulse encoded with the signal and the PRBS is compressed in the time domain after passing a second dispersive medium with an opposite dispersion value. The time-domain compression of the stretched pulse was regarded as the integration function in the CS process (but it has never been proved), which is a key to realize time-domain downsampling or single-pixel imaging. In this paper, we fully investigate the theoretical framework of the photonic CS with optical pulse stretch and compression, and present an analytical model of the CS measurement matrix based on the analysis of the pulse stretch, modulation and compression, for the first time to our knowledge. Moreover, we prove the equivalence between the peak value of the compressed pulse and the integral value of the mixed signal, which is the basis of the analytical model. In addition, we further discuss the impact of the limited bandwidth of the employed photodetector on the measurement and the performance of signal reconstruction.

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Section: Resultsmentioning

confidence: 99%

Analytical Model for Photonic Compressive Sensing With Pulse Stretch and Compression

Chi

Zhu

2019

IEEE Photonics J.

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“…Since the mode-locked laser (MLL) is asynchronous with the data clock, the optical pulses walk off with respect to data transitions, scanning the data eye at different positions. Though, eye diagrams have previously been captured using TS-ADC [4], this is the first time it is done signals independent of the laser clock with high fidelity. For the proof of principle, we demonstrate the capture of a 12.1Gbps pseudo-random bit sequence (PRBS) data eye, as shown in Figure 2.…”

Section: Tiser Scopementioning

confidence: 99%

Photonic time stretch enhanced recording scope

Gupta

Jalali

2008

LEOS 2008 - 21st Annual Meeting of the IEEE Lasers and Electro-Optics Society

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“…Optical header recognition and processing is one key function that enables ultrafast optical routing in photonic packet-switched networks. Many researchers have already proposed and/or demonstrated novel cost effective approaches to optical packet header recognition and processing [1,3,7,8,17]. The dynamic channel mapping unit in our proposed architecture does not require full-fledged optical header processing; therefore incurs lower cost.…”

Section: Shared Channel Architecturementioning

confidence: 99%