Simultaneous Microwave Photonic Analog-to-Digital Conversion and Digital Filtering

Wang, Sitong; Wu, Guiling; Su, Feiran; Chen, Jianping

doi:10.1109/lpt.2018.2789587

Cited by 21 publications

(6 citation statements)

References 9 publications

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“…5(a). The threshold values (I i th ) of the eight comparators are set according to equation (6). Comparing the waveform data with the threshold values, the quantized results can be obtained.…”

Section: Resultsmentioning

confidence: 99%

“…Benefiting from the merits of photonic components and technologies, such as the immunity to electromagnetic interference and high bandwidth of electro-optic components, as well as the ultra-low timing jitter of mode-locked lasers as sampling clocks, digitization (i.e., analog-to-digital conversion, ADC) with photonic technologies is regarded as a potential solution to break the bottleneck of electronic digitization in terms of bandwidth and aperture jitter [5]. In past several decades, various photonic digitization schemes have been proposed, including the techniques combing the photonic sampling and electronic quantization [6]- [8], the photonic time stretch for preprocessing the signal prior to electronic quantization [9]- [12], the approaches realizing spectral encoding based on optical nonlinearities [13], [14], and the photonic sampling and quantization using Mach-Zehnder interferometers (MZIs) as well as modulators [15]- [19], etc.…”

Section: Introductionmentioning

confidence: 99%

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Photonic Digitization With Differential Encoding Based on Orthogonal Vector Superposition

et al. 2019

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In this paper a novel photonic digitization scheme with differential encoding based on orthogonal vector superposition (OVS) is proposed and demonstrated. A phase modulator (PM) and two delay-line interferometers (DLIs) with π/2 difference in bias phase are employed to generate two orthogonal modulated signals. By adjusting and combining the intensity of two orthogonal signals with an OVS module, the desired phase shifts among different transfer functions can be obtained. The proposed scheme can differentially encode the input signal with enhanced bit resolution. Compared with the existing photonic digitization schemes based on modulators, this scheme features its simple configuration, because only a single PM, two DLIs and an OVS module are required; moreover, since the desired phase shifts of transfer functions are realized by attenuating the signal intensities, the proposed scheme can effectively alleviate the problem of phase bias drift induced by modulators. Proof-of-concept experiments of 3-and 4-bit photonic digitization systems based on OVS are successfully carried out, which demonstrate the feasibility of the approach.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Photonic Digitization With Differential Encoding Based on Orthogonal Vector Superposition

et al. 2019

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“…The process of digital filtering is extensively used in many applications in communications, signal processing, electrical and biomedical engineering, and control [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ]; for example, coding and compression, signal augmentation, denoising, amplitude and frequency demodulation, analog-to-digital conversions, shape detection, and extraction [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ]. For some applications, nonlinearity is tailored to a specific purpose [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Some Remarks about Entropy of Digital Filtered Signals

Borges

Nepomuceno

Duque

et al. 2020

Entropy

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The finite numerical resolution of digital number representation has an impact on the properties of filters. Much effort has been done to develop efficient digital filters investigating the effects in the frequency response. However, it seems that there is less attention to the influence in the entropy by digital filtered signals due to the finite precision. To contribute in such a direction, this manuscript presents some remarks about the entropy of filtered signals. Three types of filters are investigated: Butterworth, Chebyshev, and elliptic. Using a boundary technique, the parameters of the filters are evaluated according to the word length of 16 or 32 bits. It has been shown that filtered signals have their entropy increased even if the filters are linear. A significant positive correlation (p < 0.05) was observed between order and Shannon entropy of the filtered signal using the elliptic filter. Comparing to signal-to-noise ratio, entropy seems more efficient at detecting the increasing of noise in a filtered signal. Such knowledge can be used as an additional condition for designing digital filters.

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“…To achieve equivalent filter response with narrow bandwidth at high central frequency, optical pulses with both high temporal precision and long duration time are required in simultaneous photonic filtering and digitizing systems. In previous work [1]- [3], since temporal precision and duration time of the generated optical pulses are limited by pulse shaping schemes, what can be achieved is equivalent filter response with either high central frequency and wide bandwidth of 10 GHz [1], or delicate bandwidth of 1 GHz and limited central frequency [2], [3]. This motivates us to explore other pulse shaping schemes suitable to be implemented in simultaneous photonic filtering and digitizing systems, so that the system can have narrow-bandwidth equivalent filter response at high central frequency.…”

Section: Introductionmentioning

confidence: 99%

An Optical Pulse Shaping Scheme for Simultaneous Photonic Filtering and Digitizing Systems

Sun

Wang

et al. 2020

IEEE Photonics J.

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The equivalent filter response in the simultaneous photonic filtering and digitizing system is determined by the temporal precision and duration time of optical pulses. To achieve narrow-bandwidth filter response at high central frequency, a pulse shaping scheme based on the time-frequency mapping and attenuation-delay coupling is presented. The effect introduced by attenuation-delay coupling is derived, and the method to search optimized parameters for target bandwidth, off-band suppression and central frequency is presented. Precise shaping of optical pulses with full width at half-maximum in sub-nanosecond order is realized in experiments, which can generate an equivalent filter with bandwidth of 0.93 GHz and central frequency of 39.9 GHz in the simultaneous photonic filtering and digitizing system.

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Simultaneous Microwave Photonic Analog-to-Digital Conversion and Digital Filtering

Cited by 21 publications

References 9 publications

Photonic Digitization With Differential Encoding Based on Orthogonal Vector Superposition

Photonic Digitization With Differential Encoding Based on Orthogonal Vector Superposition

Some Remarks about Entropy of Digital Filtered Signals

An Optical Pulse Shaping Scheme for Simultaneous Photonic Filtering and Digitizing Systems

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