Ultrafast and ultrahigh-resolution optical vector analysis using linearly frequency-modulated waveform and dechirp processing

Li, Shupeng; Xue, Min; Qing, Ting; Chen, Yu; Wu, Lugang; Pan, Shilong

doi:10.1364/ol.44.003322

Cited by 18 publications

(7 citation statements)

References 15 publications

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“…Till now, photonics-based phase noise measurement for 5–40 GHZ frequency is calculated as 123 dBc/Hz at 1 kHz. The microwave photonics-based phase controller has a principle of introducing phase difference between RF side band and carrier signal at the receiver [ 116 ]. This principle has several drawbacks, like, higher budget and complicated structure to control also the slow tuning time is not appropriate for phased array antenna.…”

Section: Microwave Photonics For Measurement Applicationmentioning

confidence: 99%

A survey on photonics technologies for radar applications

Raj

2022

J Opt

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Photonics is a fast and galloping technology related to both microwave and optics science. Photonics is a very vast and distinctive field in recent days. Due to the enlarged difficulty of the electronics component for large bandwidth, we had to rely on the delightful photonics system. Photonics-based system came to us as a blessing in science research in this era. Software-defined photonics-based radar must be the near forthcoming next-generation necessities. This paper has a detailed study of photonics radar and how its components work. A comparative study has been presented with the traditional electronics microwave radar systems and photonics radar systems. The slow evolution of optics system and how the application has been pushed to radar, microwave and antenna systems have been described here. In this survey repost starting from the historical storyline and basics of photonics radar, the concept of radar based on photonics system and its need, then the digitized PhoDIR system invention, radio frequency signal generation and modulation, beamforming over antenna array and signal transportation, we have discussed the important architecture of photonics radar, phase control process, sampling process, transceiver modules till the radar parameter measurements and various applications of photonics radar including quantum radar. Photonics radar seemed to be a very intense and bright research study area; many practical problems and its wonderful solution have been described here. In this paper, the advancement and progression of photonics-based radar communication system accomplishments of the last decades has been shown and also discussions about future study and development of photonics radar have been presented.

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Section: Microwave Photonics For Measurement Applicationmentioning

confidence: 99%

A survey on photonics technologies for radar applications

Raj

2022

J Opt

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“…To increase the spectral resolution, OVAs based on optical single-sideband (OSSB) modulation were proposed [3][4][5][6][7][8][9][10][11][12][13][14][15][16], which theoretically allows the obtaining of an ultrahigh-resolution in units of hertz. In [3], a resolution of 78 kHz was obtained in practice.…”

Section: Ova Based On Optical Single-sideband Modulationmentioning

confidence: 99%

“…Measurement errors caused by the presence of higher-order sidebands were completely eliminated in [10][11][12][13]. In [10], it was proposed to take the measurements twice.…”

Section: Reducing Measurement Errormentioning

confidence: 99%

“…Using a balanced photodetector allows one to take the measurements once. In order to speed up the measurement process, the use of both balanced photodetection and a linearly frequency-modulated (LFM) waveform was proposed [12]. The LFM signal is achieved by modulating an electrical LFM signal on an optical carrier via carrier-suppressed OSSB-modulation.…”

Section: Reducing Measurement Errormentioning

confidence: 99%

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Ultrahigh-Resolution Optical Vector Analyzers

et al. 2020

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The optical vector analyzer is a device used to measure the magnitude, phase responses, and other parameters of optical devices. There have been increasingly higher demands placed on optical vector analyzers during the development of optical technologies, which are satisfied by the creation of new devices and their operating principles. For further development in this area, it is necessary to generalize the experience gained during the development of optical vector analyzers. Thus, in this report, we provide an overview of all the basic types of approaches used for the realization of optical vector analyzers, including the advanced ones with the best performances. The principles of their working, as well as their associated advantages, disadvantages, and existing solutions to the identified problems, are examined in detail. The presented approaches could be of value and interest to those working in the field of laser dynamics and optical devices, as we propose one use of the optical vector analyzer as being the characterization of Fano resonance structures.

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“…Within a well‐established output SNR inequality model [ 22 ] , it turns out that the CICFCWD outperforms the CWD in detecting noisy linear frequency‐modulated (LFM) signals [ 26‐30 ] , a kind of important non‐stationary signals encountered frequently in the fields of nonlinear optics [ 31 ] , synthetic aperture radar [ 32 ] , satellite communications [ 33 ] , and medical imaging [ 34 ] . This fact reveals that there is a cause‐and‐effect relationship between the appropriate LCT free parameters and a good detection performance.…”

Section: Introductionmentioning

confidence: 99%

Variance‐SNR Based Noise Suppression on Linear Canonical Choi‐Williams Distribution of LFM Signals

ZHANG

2022

Chinese J of Electronics

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By solving the existing expectation‐signal‐to‐noise ratio (expectation‐SNR) based inequality model of the closed‐form instantaneous cross‐correlation function type of Choi‐Williams distribution (CICFCWD), the linear canonical transform (LCT) free parameters selection strategies obtained are usually unsatisfactory. Since the second‐order moment variance outperforms the first‐order moment expectation in accurately characterizing output SNRs, this paper uses the variance analysis technique to improve parameters selection strategies. The CICFCWD's average variance of deterministic signals embedded in additive zero‐mean stationary circular Gaussian noise processes is first obtained. Then the so‐called variance‐SNRs are defined and applied to model a variance‐SNR based inequality. A stronger inequalities system is also formulated by integrating expectation‐SNR and variance‐SNR based inequality models. Finally, a direct application of the system in noisy one‐component and bi‐component linear frequency‐modulated (LFM) signals detection is studied. Analytical algebraic constraints on LCT free parameters newly derived seem more accurate than the existing ones, achieving better noise suppression effects. Our methods have potential applications in optical, radar, communication and medical signal processing.

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Ultrafast and ultrahigh-resolution optical vector analysis using linearly frequency-modulated waveform and dechirp processing

Cited by 18 publications

References 15 publications

A survey on photonics technologies for radar applications

A survey on photonics technologies for radar applications

Ultrahigh-Resolution Optical Vector Analyzers

Variance‐SNR Based Noise Suppression on Linear Canonical Choi‐Williams Distribution of LFM Signals

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