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

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (5): 1398-1405.doi: 10.12305/j.issn.1001-506X.2021.05.29

基于自适应形态学的跳频信号参数联合盲估计

王曼颖(), 龚晓峰*(), 雒瑞森(), 边彤(), 王之远()

四川大学电气工程学院, 四川成都 610065

收稿日期:2020-07-09 出版日期:2021-05-01 发布日期:2021-04-27
通讯作者: 龚晓峰 E-mail:manying_w@foxmail.com;50906650@qq.com;rui510104@163.com;1460424927@qq.com;1271105758@qq.com
作者简介:王曼颖 (1997—), 女, 硕士研究生, 主要研究方向为检测技术与自动化装置。E-mail: manying_w@foxmail.com|龚晓峰 (1965—), 男, 教授, 博士, 主要研究方向为检测技术与自动化装置。E-mail: 50906650@qq.com|雒瑞森 (1986—), 男, 讲师, 博士, 主要研究方向为机器学习、资源环境信息感知处理。E-mail: rui510104@163.com|边彤 (1998—), 女, 本科, 主要研究方向为检测技术与自动化装置。E-mail: 1460424927@qq.com|王之远 (1998—), 男, 本科, 主要研究方向为检测技术与自动化装置。E-mail: 1271105758@qq.com
基金资助:
四川省重点研发计划项目(20ZDYF3113);校企合作项目(17H1199);校企合作项目(19H0355)

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

Manying WANG(), Xiaofeng GONG*(), Ruisen LUO(), Tong BIAN(), Zhiyuan WANG()

College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2020-07-09 Online:2021-05-01 Published:2021-04-27
Contact: Xiaofeng GONG E-mail:manying_w@foxmail.com;50906650@qq.com;rui510104@163.com;1460424927@qq.com;1271105758@qq.com

摘要/Abstract

摘要：

跳频通信的应用大大提高了军事装备的抗干扰和抗截获能力，使得跳频对抗技术面临严峻的挑战。为解决传统形态学跳频信号参数估计方法中结构元素选择困难问题并提高估计精度，提出了一种基于自适应形态学的跳频信号参数联合盲估计方法。首先，对跳频信号进行短时傅里叶变换获取谱图。然后，从其时间轴投影中获取结构元素尺寸的知识, 设计自适应形态学滤波器抑制谱图噪声, 提取跳频图案初步估计跳频参数。最后, 引入最小二乘估计方法, 对跳频周期和跳变时刻进行精估计。仿真结果表明，此方法能够同时估计出跳频频率、跳频周期和跳变时刻, 不需要其中某一种参数作为先验条件, 在复杂的通信环境也能够保持良好的估计性能。

关键词: 跳频信号, 参数估计, 短时傅里叶变换, 形态学, 最小二乘估计

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)

中图分类号:

TN914.41

王曼颖, 龚晓峰, 雒瑞森, 边彤, 王之远. 基于自适应形态学的跳频信号参数联合盲估计[J]. 系统工程与电子技术, 2021, 43(5): 1398-1405.

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.

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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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基于自适应形态学的跳频信号参数联合盲估计

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

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