[1]王焱,张晓林.一种基于时频矩的跳频参数估计算法[J].应用科技,2020,47(6):18-22.[doi:10.11991/yykj.202001003]
　WANG Yan,ZHANG Xiaolin.A parameter estimation algorithm of frequency hopping signal based on time-frequency moment[J].Applied science and technology,2020,47(6):18-22.[doi:10.11991/yykj.202001003]
点击复制

一种基于时频矩的跳频参数估计算法(/HTML)
分享到：

《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第47卷
期数:
2020年6期
页码:
18-22
栏目:
现代电子技术
出版日期:
2021-01-31

文章信息/Info

Title:
A parameter estimation algorithm of frequency hopping signal based on time-frequency moment
作者:
王焱;  张晓林
哈尔滨工程大学 信息与通信工程学院，黑龙江 哈尔滨 150001
Author(s):
WANG Yan;  ZHANG Xiaolin
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
关键词:
跳频信号; 跳频参数; 时频分析; 时频矩; 自适应门限; 能量检测; 时频图修正; 参数盲估计
Keywords:
frequency-hopping signal; frequency-hopping parameter; time-frequency analysis; time-frequency moment; adaptive threshold; energy detection; time-frequency diagram modification; blind parameter estimation
分类号:
TN971
DOI:
10.11991/yykj.202001003
文献标志码:
A
摘要:
为有效解决跳频通信系统中的参数估计问题，本文对基于时频分析的跳频参数估计算法——时频矩法做出改进。引入了门限来处理时频矩图像，抑制了噪声对算法的干扰。为进一步提高跳频参数估计性能，将改进的时频矩法与时频图修正算法结合。仿真结果表明，经过修正之后，时频图更清晰，估计跳频参数的误差更小。
Abstract:
In order to effectively solve the parameter estimation problem in the frequency hopping communication system, this paper improves the time-frequency moment method—frequency hopping parameter estimation algorithm based on time-frequency analysis. A threshold is introduced to process the time-frequency moment image, which suppresses the interference of noise to the algorithm. To further improve the performance of frequency hopping parameter estimation, the improved time-frequency moment method is combined with the time-frequency diagram correction algorithm. The simulation results show that the time-frequency diagram is clearer and the error of the estimated frequency hopping parameters is smaller after the correction.

参考文献/References:

[1] 孙微涛, 张志宝, 罗文峰, 等. 基于Rife算法的跳频信号瞬时频率估计算法研究[J]. 计算机与数字工程, 2018, 46(5): 870-873, 884
[2] 张朝柱, 王宇, 荆福龙. 利用稀疏贝叶斯理论的跳时估计方法[J]. 西安电子科技大学学报, 2019, 46(3): 39-44
[3] HUSSAIN Z M, BOASHASH B. Adaptive instantaneous frequency estimation of multicomponent FM signals using quadratic time-frequency distributions[J]. IEEE transactions on signal processing, 2002, 50(8): 1866-1876.
[4] 赵俊, 张朝阳, 赖利峰, 等. 一种基于时频分析的跳频信号参数盲估计方法[J]. 电路与系统学报, 2003, 8(3): 46-50
[5] CAI T T, WANG L. Orthogonal matching pursuit for sparse signal recovery with noise[J]. IEEE transactions on information theory, 2011, 57(7): 4680-4688.
[6] 梅文华. 跳频通信[M]. 北京: 国防工业出版社, 2005: 15-21.
[7] 王科俊, 杨晓飞. 采用改进结构特征度度量分析的噪声标准差估计算法[J]. 智能系统学报, 2015, 10(2): 255-260
[8] CHEN C T. Joint signal parameter estimation of frequency-hopping communications[J]. IET communications, 2012, 6(4): 381-389.
[9] KANAA A, SHA’AMERI A Z. A robust parameter estimation of FHSS signals using time-frequency analysis in a non-cooperative environment[J]. Physical communication, 2018, 26: 9-20.
[10] BOASHASH B, AZEMI G, O’TOOLE J M. Time-frequency processing of nonstationary signals: advanced TFD design to aid diagnosis with highlights from medical applications[J]. IEEE signal processing magazine, 2013, 30(6): 108-119.
[11] FU Weihong, LI Xiaohui, LIU Naian, et al. Parameter blind estimation of frequency-hopping signal based on time-frequency diagram modification[J]. Wireless personal communications, 2017, 97(3): 3979-3992.
[12] 胡广书. 现代信号处理教程[M]. 北京: 清华大学出版社, 2004: 69-75.
[13] 唐向宏, 李齐良. 时频分析与小波变换[M]. 北京: 科学出版社, 2008: 37-41.

备注/Memo

备注/Memo:
收稿日期:2020-01-03。
作者简介:王焱，女，硕士研究生;张晓林，男，副教授，博士
通讯作者:张晓林，E-mail：zhangxiaolin@hrbeu.edu.cn
更新日期/Last Update: 2021-02-05