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基于时频变换和波形整形的跳频信号参数估计方法

王川川 张宽桥 王满喜

王川川, 张宽桥, 王满喜. 基于时频变换和波形整形的跳频信号参数估计方法[J]. 强激光与粒子束. doi: 10.11884/HPLPB202436.240079
引用本文: 王川川, 张宽桥, 王满喜. 基于时频变换和波形整形的跳频信号参数估计方法[J]. 强激光与粒子束. doi: 10.11884/HPLPB202436.240079
Wang Chuanchuan, Zhang Kuanqiao, Wang Manxi. Parameter estimation method for frequency hopping signal based on time-frequency transform and waveform shaping[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202436.240079
Citation: Wang Chuanchuan, Zhang Kuanqiao, Wang Manxi. Parameter estimation method for frequency hopping signal based on time-frequency transform and waveform shaping[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202436.240079

基于时频变换和波形整形的跳频信号参数估计方法

doi: 10.11884/HPLPB202436.240079
详细信息
    作者简介:

    王川川,wangchuan1083@126.com

  • 中图分类号: TN91

Parameter estimation method for frequency hopping signal based on time-frequency transform and waveform shaping

  • 摘要: 针对噪声对跳频信号参数估计造成的困难,提出了基于时频变换和波形整形的跳频信号参数估计方法。对跳频信号进行短时傅里叶变换,计算得到时频脊线,对时频脊线进行波形整形处理,消除噪声造成的虚假跳频时刻干扰,通过跳频时刻序列得到跳周期序列,对跳周期序列计算其直方图,选出出现次数最多的值来计算跳频信号的跳频速率。根据跳周期序列分别取出每段信号,再进行频率估计。通过实验验证了提出方法的有效性,综合利用时频变换及波形整形处理技术,保证了在低信噪比下跳频信号跳频时刻、跳频速率及跳频频率的理想估计结果。
  • 图  1  跳频信号频谱及时频图

    Figure  1.  Frequency spectrum and time-frequency diagram of frequency-hopping (FH) signal

    图  2  某实测跳频信号时刻参数估计中的关键波形

    Figure  2.  Key waveforms in parameter estimation of a measured frequency hopping signal

    图  3  基于时频变换和波形整形的跳频信号参数估计方法流程图

    Figure  3.  Flow chart of parameter estimation method for frequency-hopping signal based on time-frequency transform and waveform shaping

    图  4  消除虚假跳频时刻后的跳频时刻序列

    Figure  4.  Frequency hopping time sequence after eliminating false frequency hopping time

    图  5  某实际信号跳频时刻序列

    Figure  5.  Frequency hopping time sequence of an actual signal

    图  6  跳频频率值个数为8的跳频信号跳频时刻、跳频速率和跳频频率参数估计误差曲线(实验一)

    Figure  6.  Estimation error curves of hopping time, hopping speed and hopping frequency of FH signal with 8 FH frequencies (experiment 1)

    图  7  跳频频率值个数为12的跳频信号频谱(实验二)

    Figure  7.  Frequency spectrum of FH signal with 12 frequency values (experiment 2)

    图  8  跳频频率值个数为12的跳频信号跳频时刻、跳频速率和跳频频率参数估计误差曲线(实验二)

    Figure  8.  Estimation error curves of hopping time, hopping speed and hopping frequency of FH signal with 12 hopping frequency values (experiment 2)

    图  9  跳频频率值个数为8的跳频信号频谱(实验三)

    Figure  9.  Frequency spectrum of FH signal with 8 FH frequency values (experiment 3)

    图  10  跳频频率值个数为8的跳频信号跳频时刻、跳频速率和跳频频率参数估计误差曲线(实验三)

    Figure  10.  Estimation error curves of hopping time, hopping speed and hopping frequency of FH signal with 8 FH frequency values (experiment 3)

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    [2] Tian Xinyu, Han Hongyu, Niu Xianhua, et al. Construction of optimal frequency hopping sequence set with low-hit-zone[J]. Entropy, 2023, 25: 1044. doi: 10.3390/e25071044
    [3] Wang Yifan, Li Yibing, Sun Qian, et al. A novel underdetermined blind source separation algorithm of frequency-hopping signals via time-frequency analysis[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, 70(11): 4286-4290.
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    Chi Xiuwei. Research on the parameter estimation of frequency hopping signal based on time-frequency analysis[D]. Harbin: Harbin Engineering University, 2018: 2-6
    [5] Li Gao, Wang Wei, Ding Guoru, et al. Frequency-hopping frequency reconnaissance and prediction for non-cooperative communication network[J]. China Communications, 2021, 18(12): 51-64. doi: 10.23919/JCC.2021.12.003
    [6] 周磊. 复杂噪声中跳频信号参数估计研究[D]. 西安: 西安电子科技大学, 2018: 2-10

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    Wang Yu. Research on frequency-hopping signals parameters estimation and sorting algorithms[D]. Harbin: Harbin Engineering University, 2019: 3-12
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    Zhang Zhibao, Sun Weitao, Luo Wenfeng, et al. New joint algorithm for parameter estimation of frequency-hopping signals[J]. Computer & Digital Engineering, 2018, 46(3): 445-448,453 doi: 10.3969/j.issn.1672-9722.2018.03.005
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    Feng Weiting, Liang Qing, Wang Yinan. A method for time-frequency analysis and parameters estimation of frequency-hopping signal[J]. Journal of Xi’an University of Posts and Telecommunications, 2021, 26(3): 32-39
    [10] Wang Hongbin, Zhang Bangning, Wang Heng, et al. Hopping time estimation of frequency-hopping signals based on HMM-enhanced Bayesian compressive sensing with missing observations[J]. IEEE Communications Letters, 2022, 26(9): 2180-2184. doi: 10.1109/LCOMM.2022.3184173
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出版历程
  • 收稿日期:  2024-03-06
  • 修回日期:  2024-04-23
  • 录用日期:  2024-04-27
  • 网络出版日期:  2024-05-16

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