Prof. Shuguo Xie Profile

Prof. Shuguo Xie

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Proceedings Article | 13 December 2024 Paper

A method for dual-channel signal frequency recovery in optical frequency comb receiving system

Hanchun Pu, Shuguo Xie, Yan Yang, Yuhang Song

Proceedings Volume 13502, 1350211 (2024) https://doi.org/10.1117/12.3048163

KEYWORDS: Electromagnetism, Repetition frequency, Pulse signals, Electric fields, Time-frequency analysis, Signal processing, Light sources, Frequency combs, Feature extraction, Femtosecond pulse shaping

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The traditional electric field reception technology has the contradiction between the measurement bandwidth, speed, and accuracy. The under-sampling electric field measurement system of the optical frequency comb can down convert all signals within a wide frequency band to a low frequency for reception and measurement, thus solving the above contradiction. Due to the use of undersampling reception, the original carrier frequency of the signal was lost. For this purpose, a dual frequency pulse light source is used for electric field sampling, and the residual matching method is used to recover the signal frequency information. However, when there are two or more different signals in the test signal, it is difficult to pair the down conversion components, resulting in a sharp increase in the error rate of the system's frequency recovery. In response to the above issues, this article proposes a frequency recovery method based on signal feature matching. By extracting features from dual channel signals, accurate grouping of down converted signals can be achieved. Then use the remainder matching method to accurately recover the frequency. The simulation results demonstrate that when the system receives four different signals simultaneously, the frequency recovery error rate is about 0.4%, which is about 1/3 of the original.

Proceedings Article | 9 January 2023 Paper

Modulation type identification method of radar signal from optical frequency comb down-conversion receiving system

Shiteng Sun, Shuguo Xie, Yan Yang, Tianheng Wang, Meiling Yang

Proceedings Volume 12507, 125071F (2023) https://doi.org/10.1117/12.2655740

KEYWORDS: Radar, Frequency combs, Modulation

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Compared with the traditional electronic reconnaissance receiver, the electronic reconnaissance receiving system using optical frequency comb down-conversion technology can simultaneously down-convert all the electromagnetic signals from the wide-band range (1MHz-20GHz) to the first repetition frequency interval range(DC-110MHz) for reception and measurement. This method can significantly improve the measuring speed and reduce the receiving cost. However, when the captured signal is a type with bandwidth like radar signal, the down-conversion spectrum may be aliased, resulting in the change of signal spectrum shape, which will affect the modulation type identification and frequency recovery of the signal. In order to solve the problem of modulation type identification of radar signals with spectrum aliasing after optical down-conversion, a modulation type identification method based on radar signal auto-correlation feature extraction is proposed in this paper. According to the characteristic that the auto-correlation function is insensitive to the spectrum aliasing after optical down-conversion, this method extracts the type identification features of auto-correlation envelope and its spectrum, such as skewness, kurtosis, impact factor, and finally uses SVM to identification the modulation type. Simulation results show that this identification method can accurately identify the modulation type of radar signal with spectrum aliasing after optical down-conversion, and has good anti-noise performance. When the SNR is higher than -3dB, the identification accuracy of this method for LFM and SIN after optical down-conversion is higher than 99%. For NP, BPSK, QPSK, BFSK, LFM and SIN signals with dynamic SNR between -6db and 10dB , the identification accuracy is more than 95%.

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