基于时频矩阵局部对比度的跳频信号参数估计

doi:10.11959/j.issn.1000-0801.2021239

Abstract

Abstract:

To improve the performance of the parameter estimation of frequency hopping signal under low signal-to-noise ratio, a parameter estimation algorithm of frequency hopping signal based on time-frequency matrix LCM was proposed.Considering the different characteristics of time-frequency distribution of frequency hopping signal and noise, the mean local energy comparison value of the time-frequency matrix under different scale sliding windows was used, and the multi-scale local energy comparison feature matrix was introduced, so the time-frequency matrix P that only contains the time-frequency information of the frequency hopping signal could be obtained through this feature matrix and the adaptive threshold separation.And then, by extracting the time-frequency hopping information from P, the period, hopping time and frequency of the frequency hopping signal could be accurately estimated.The simulation results show that compared with the traditional local contrast measure (LCM) and morphological filtering method, the proposed algorithm has better frequency hopping signal extraction effect and higher parameter estimation accuracy.And then the tests of the algorithm on the DSP+FPGA hardware system verify the effectiveness and practicability.

Key words: parameter estimation, time-frequency analysis, local contrast, hardware verification

CLC Number:

TP414.41

Jiamin LIU, Zhijin ZHAO, Junna SHANG, Xueyi YE. Parameter estimation of frequency hopping signal based on time-frequency matrix LCM[J]. Telecommunications Science, 2021, 37(10): 126-135.

Figures/Tables 10

References 22

[1]	TORRIERI D J . Mobile frequency-hopping CDMA systems[J]. IEEE Transactions on Communications, 2000,48(8): 1318-1327.
[2]	闫云斌, 全厚德, 崔佩璋 . 跳频通信中阻塞干扰样式的自动识别[J]. 电信科学, 2013,29(1): 103-108.
	YAN Y B , QUAN H D , CUI P Z . Automatic recognition of barrage interference in frequency-hopping communication[J]. Telecommunications Science, 2013,29(1): 103-108.
[3]	LEI Z W , YANG P , ZHENG L H . Detection and frequency estimation of frequency hopping spread spectrum signals based on channelized modulated wideband converters[J]. Electronics, 2018,7(9): 170.
[4]	KIM N K , OH S J . Comparison of methods for parameter estimation of frequency hopping signals[C]// 2017 International Conference on Information and Communication Technology Convergence (ICTC). Piscataway:IEEE Press, 2017: 567-569.
[5]	郭英, 东润泽, 张坤峰 ,等. 基于稀疏贝叶斯学习的多跳频信号 DOA 估计方法[J]. 电子与信息学报, 2019,41(3): 516-522.
	GUO Y , DONG R Z , ZHANG K F ,et al. Direction of arrival estimation for multiple frequency hopping signalsbased on sparse bayesian learning[J]. Journal of Electronics ＆ Information Technology, 2019,41(3): 516-522.
[6]	KO C B , LEE J H . Performance analysis of interferometer direction of arrival estimation under frequency mismatch of array manifold:DOA of frequency hopping signal[J]. Applied Sciences, 2020,10(7): 2331.
[7]	东润泽, 郭英, 张坤峰 ,等. 基于原子范数的多跳频信号时频参数估计[J]. 系统工程与电子技术, 2018,40(11): 2581-2585.
	DONG R Z , GUO Y , ZHANG K F ,et al. Time frequency parameter estimation of multiple frequency-hopping signals based on atomic norm[J]. Systems Engineering and Electronics, 2018,40(11): 2581-2585.
[8]	付卫红, 张云飞, 韦娟 ,等. 基于滑窗和原子字典的压缩域跳频信号参数估计算法[J]. 电子与信息学报, 2017,39(11): 2600-2606.
	FU W H , ZHANG Y F , WEI J ,et al. Parameter estimation algorithm for frequency-hopping signal in compressed domain based on sliding window and atomic dictionary[J]. Journal of Electronics ＆ Information Technology, 2017,39(11): 2600-2606.
[9]	FU W H , LI X H , LIU N A ,et al. Parameter blind estimation of frequency-hopping signal based on time-frequency diagram modification[J]. Wireless Personal Communications, 2017,97(3): 3979-3992.
[10]	ZHAO Z J , YAO Y , SHANG J N . Frequency hopping signals analysis based on image processing[C]// 2008 International Conference on Neural Networks and Signal Processing. Piscataway:IEEE Press, 2008: 560-564.
[11]	冯涛, 袁超伟 . 基于时频脊线的跳频参数盲估计[J]. 电子学报, 2011,39(12): 2921-2925.
	FENG T , YUAN C W . Blind parameter estimation of frequency-hopping signals based on the time-frequency distribution maxima[J]. Acta Electronica Sinica, 2011,39(12): 2921-2925.
[12]	张盛魁, 姚志成, 何岷 ,等. 改进时频脊线的跳频参数盲估计算法[J]. 系统工程与电子技术, 2019,41(12): 2885-2890.
	ZHANG S K , YAO Z C , HE M ,et al. Blind estimation algorithm for frequency hopping parameters of improved time-frequency ridge[J]. Systems Engineering and Electronics, 2019,41(12): 2885-2890.
[13]	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.
	ZHAO J , ZHANG Z Y , LAI L F ,et al. Blind parameter estimation of frequency-hopping signals based on time-frequency analysis[J]. Journal of Circuits and Systems, 2003,8(3): 46-50.
[14]	郭艺, 张尔扬, 沈荣骏 . 跳频信号时-频域分析与参数盲估计方法[J]. 信号处理, 2007,23(2): 210-213.
	GUO Y , ZHANG E Y , SHEN R J . The time-frequency analysis and blind parameter estimation of frequency hopping signals[J]. Signal Processing, 2007,23(2): 210-213.
[15]	付卫红, 胡展 . 一种混合网台跳频参数盲估计算法[J]. 北京邮电大学学报, 2019,42(4): 57-63.
	FU W H , HU Z . Blind parameter estimation of hybrid networking frequency-hopping[J]. Journal of Beijing University of Posts and Telecommunications, 2019,42(4): 57-63.
[16]	HE Y , SU Y , CHEN Y ,et al. Double window spectrogram difference method:a blind estimation of frequency-hopping signal for battlefield communication environment[C]// 2018 24th Asia-Pacific Conference on Communications (APCC). Piscataway:IEEE Press, 2018: 439-443.
[17]	吕晨杰, 王斌, 王开勋 . 采用图像处理的跳频信号参数盲估计[J]. 电讯技术, 2015,55(8): 842-847.
	LYU C J , WANG B , WANG K X . Blind parameter estimation of frequency hopping signals by image processing[J]. Telecommunication Engineering, 2015,55(8): 842-847.
[18]	席有猷, 李志刚, 王苗 . 结合图像处理与时频分析的直扩/跳频信号参数估计[J]. 电讯技术, 2014,54(8): 1071-1076.
	XI Y Y , LI Z G , WANG M . Parameters estimation of DS/FH signal based on image processing and time-frequency analysis[J]. Telecommunication Engineering, 2014,54(8): 1071-1076.
[19]	王欣怡, 南心蒙, 李柯达 ,等. OPTA细化算法在跳频信号参数估计中的应用[J]. 弹箭与制导学报, 2019,39(6): 116-119.
	WANG X Y , NAN X M , LI K D ,et al. Application of OPTA algorithm in parameter estimation of frequency-hopping signals[J]. Journal of Projectiles,Rockets,Missiles and Guidance, 2019,39(6): 116-119.
[20]	王曼颖, 龚晓峰, 雒瑞森 ,等. 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.
	WANG M Y , GONG X F , LUO R S ,et al. Joint blind parameter estimation of frequency hopping signal based on adaptive morphology[J]. Systems Engineering and Electronics, 2021,43(5): 1398-1405.
[21]	CHEN C L P , LI H , WEI Y T ,et al. A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014,52(1): 574-581.
[22]	ZHANG K , YANG K , LI S Y ,et al. A difference-based local contrast method for infrared small target detection under complex background[J]. IEEE Access, 2019(7): 105503-105513.

Metrics

Recommended 0

No Suggested Reading articles found!

Parameter estimation of frequency hopping signal based on time-frequency matrix LCM

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 10

References 22

Related Articles 3

Metrics

Recommended 0

[1]	Nana WANG,Zhaoting LIU,Yingbiao YAO. One-bit maximum likelihood algorithm for sensor networks in non-ideal channels [J]. Telecommunications Science, 2020, 36(3): 53-60.
[2]	Xiaopeng NIE,Zucheng SHEN,Xiaofeng WANG,Chunyu WANG. A new method of parameter estimation for sinusoidal frequency modulated continuous wave signal [J]. Telecommunications Science, 2018, 34(2): 74-80.
[3]	Minhong SUN,Yanfang LIU,Hua ZHONG,Jianrong BAO. Analysis of statistical resolution limit based on Rao test [J]. Telecommunications Science, 2017, 33(7): 93-102.