基于自适应形态学的跳频信号参数联合盲估计

doi:10.12305/j.issn.1001-506X.2021.05.29

Abstract

Abstract:

The application of frequency hopping communication improves the anti-jamming and anti-interception ability of military equipment greatly, making the frequency hopping countermeasure technology to face severe challenges. In order to find a way out of the difficulty in selecting structural elements in traditional parameter estimation method of frequency hopping signal based on morphological and to improve the estimation accuracy, a joint blind parameter estimation method of frequency hopping (FH) signal based on adaptive morphology is presented. Firstly, the short time Fourier transform (STFT) is used to obtain the spectrogram. Then, the knowledge of structural element size is acquired from time axis projection of the spectrogram, an adaptive morphological filter is designed to suppress the noise. And the FH pattern is extracted, from which the FH parameters are preliminarily estimated. Finally, the least square estimation (LSE) is introduced for more accurate estimation of hopping period and hopping time. Simulation results show that hopping frequency, hopping period and hopping time can be estimated at the same time, and no prior knowledge is needed. The method maintains good estimation performance even in complex communication environment.

Key words: frequency hopping (FH) signal, parameter estimation, short time Fourier transform (STFT), morphology, least square estimation (LSE)

CLC Number:

TN914.41

Manying WANG, Xiaofeng GONG, Ruisen LUO, Tong BIAN, Zhiyuan WANG. Joint blind parameter estimation of frequency hopping signal based on adaptive morphology[J]. Systems Engineering and Electronics, 2021, 43(5): 1398-1405.

Figures/Tables 10

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References 28

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算法步骤	运算复杂度
STFT	O(N²)
二值化	O(N²)
结构元素尺寸自适应	O(N²)
形态学滤波	O(N²)
时频脊线提取	O(N²)
最小二乘估计	O(m)

仿真条件	第1组	第2组	第3组
单跳采样点数	256	512	1 024
跳频频率集/kHz	{7, 4, 1, 2, 5, 8, 6, 3}
观测时间	8个跳频周期
采样频率/kHz	20
跳频周期/ms	25.6
噪声类型	白噪声(-10~0 dB) 定频信号(9 kHz, 长度为8个跳周期, 0 dB) 扫频信号(初始频率为1 kHz, 截止频率为6 kHz, 长度为8个跳周期, 0 dB)

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Joint blind parameter estimation of frequency hopping signal based on adaptive morphology

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