High-Accuracy Multiple Microwave Frequency Measurement With Two-Step Accuracy Improvement Based on Stimulated Brillouin Scattering and Frequency-to-Time Mapping

Liu, Jialin; Shi, Taixia; Chen, Yang

doi:10.1109/jlt.2020.3044251

Cited by 34 publications

(12 citation statements)

References 26 publications

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“…The frequency comb breaks out the limitation error of Brillouin method. In reference [21,[28][29], the error of frequency measurement is mainly determined by the line width of BGS. In order to reduce the error, an additional method of reducing the BGS line width has to be introduced.…”

Section: Multiple Frequency Modulated Signal Typesmentioning

confidence: 99%

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Power-Independent Microwave Instantaneous Frequency Measurement Based on Combination of Brillouin Gain and Loss Spectra

Wang

Yang

et al. 2022

IEEE Photonics J.

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Photonics-assisted microwave instantaneous frequency measurement (IFM) is considered as a promising technique for detecting an unknown radiofrequency (RF) signal, which has advantages of broad frequency measurement range and fast processing speed. Up to date, there is no photonics-assisted IFM system that can essentially measure an unknown RF signal timefrequency information with power fluctuating seriously. Moreover, the measurement accuracy and frequency modulation recognition are not as good as those of traditional electronic methods. Here, we propose an IFM scheme based on the combination of Brillouin gain spectrum (BGS) and Brillouin loss spectrum (BLS), which is RF-power-independent with high measurement efficiency. The combination of BGS and BLS to construct the amplitude comparison function (ACF) can reduce the influence of RF signal power fluctuation within 21.27 dB by single-shot measuring. When an appropriate frequency interval with frequency domain monotonous power of microwave comb signal is modulated on the pump lightwave, the IFM accuracy of the unknown signal reaches about 1 MHz. After the initial calibration of the system, it can recognize the time-frequency variation of single tone signal, linear frequency modulated signal (LFM), nonlinear frequency modulated signal (NLFM), and Costas signal. This scheme will help to promote the application of the IFM in the field of spectrum reconnaissance and reception.

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Section: Multiple Frequency Modulated Signal Typesmentioning

confidence: 99%

“…Similarly, Ref. [28] also make full use of narrowband filtering effect of SBS, and the accuracy of frequency measurement reaches about 1 MHz. But they all didn't exhibit very well for time-frequency variation signal.…”

Section: Introductionmentioning

confidence: 99%

Power-Independent Microwave Instantaneous Frequency Measurement Based on Combination of Brillouin Gain and Loss Spectra

Wang

Yang

et al. 2022

IEEE Photonics J.

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“…In recent years, many photonics-assisted frequency measurement (PFM) methods have been proposed. These methods can mainly be divided into two categories: the instantaneous frequency measurement systems [3][4][5][6][7][8][9][10][11] and the scanning frequency measurement (SFM) systems [12][13][14][15][16][17][18]. The mainly principle of the instantaneous measurement system is to map the unknown radio (RF) signal frequency information to a power ratio between two electrical or optical signals.…”

Section: Introductionmentioning

confidence: 99%

“…Another principle to identify multiple frequencies is the scanning measurement, which is commonly performed by the frequency-to-time mapping (FTTM) method through Fourier transform [12], a recirculating frequency shifting loop [13], or a frequency scanning signal [14,15]. Additionally, due to the narrow-band filtering effect obtained by the Stimulated Brillouin scattering (SBS) can provide high frequency resolution, many methods combining the frequency scanning signal and SBS are studied [16][17][18]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [16], a two-step accuracy improvement of the reference calibration and the curve smoothing is introduced to optimize the scanning measuring, and a measurement error of about ±1MHz is achieved within 6 to 18 GHz. However, due to the scanning characteristics, the measurement response of the above methods is slow and some short-term frequency components may be missed.…”

Section: Introductionmentioning

confidence: 99%

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High-accuracy Photonics-assisted Frequency Measurement With Rough-accurate Compensation Based on Mach-Zehnder Interfering and Power Cancellation

Huang

Zhao

et al. 2021

Preprint

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A high-accuracy photonics-assisted frequency measurement with rough-accurate compensation based on Mach-Zehnder interfering and power cancellation is proposed. A polarization division multiplexing dual-parallel Mach–Zehnder modulator (PDM-DPMZM) is employed to mix the unknown RF signal and sweep signal to optical field. The rough measurement is firstly performed by the interference of a Mach-Zehnder interferometer (MZI) to realize fast frequency estimation. Then, based on the rough measurement result, the accurate measurement based on power cancellation is implemented in a much narrower range, which greatly improves the efficiency of frequency measurement. The simulation results show that the amplitude comparison function (ACF) established by interference can achieve a measurement error of less than 0.3 GHz over 0.5 ~39 GHz. Moreover, thanks to the rough-accurate compensation, the accuracy can be further improved to 4 MHz. Additionally, the multiple frequency identification with a resolution of 10 MHz can also be achieved based on this system.

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Highly Integrated Dual‐Modality Microwave Frequency Identification System

Yao

Zhao

Wei

et al. 2022

Laser & Photonics Reviews

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Photonic‐assisted microwave frequency identification systems have been extensively explored and widely applied for civil and defense applications. Full integration of this system is a promising candidate in attempts to meet the requirements of reduction in size, weight, and power. Although many integrated photonic chips have been reported in different technologies, none has monolithically integrated all the main active and passive optoelectronic components. Furthermore, previous approaches could identify either a single frequency signal instantaneously or multiple frequency signals statistically, but not both, hindering the practical applications. Here, a highly integrated dual‐modality microwave frequency identification system on a single chip is reported. All critical components including a modulator, a sweeping‐frequency filter, a frequency‐selected filter, an amplitude comparison function, and parallel photodetectors, are monolithically integrated on the silicon‐on‐insulator platform. Thanks to the dual‐modality scheme, the chip is able to identify different types of microwave signals, including single‐frequency, multiple‐frequency, chirped, and frequency‐hopping microwave signals, as well as discriminate instantaneous frequency variation among the frequency‐modulated signals. This demonstration exhibits a highly integrated solution and fully functional microwave frequency identification, which can meet the requirements in reduction of size, weight, and power for future advanced microwave photonic processor.

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High-Accuracy Multiple Microwave Frequency Measurement With Two-Step Accuracy Improvement Based on Stimulated Brillouin Scattering and Frequency-to-Time Mapping

Cited by 34 publications

References 26 publications

Power-Independent Microwave Instantaneous Frequency Measurement Based on Combination of Brillouin Gain and Loss Spectra

Power-Independent Microwave Instantaneous Frequency Measurement Based on Combination of Brillouin Gain and Loss Spectra

High-accuracy Photonics-assisted Frequency Measurement With Rough-accurate Compensation Based on Mach-Zehnder Interfering and Power Cancellation

Highly Integrated Dual‐Modality Microwave Frequency Identification System

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