The Research on Frequency-Hopping Signals Analysis Methods Based on Adaptive Optimal Kernel Time-Frequency Representation

Author

Li Nan ; Dong Shuang ; Yang Dongmei ; Hao Zhonghua

Author_Institution

Sch. of Inf. Eng., Northeast Dianli Univ., Jilin, China

Volume

1

fYear

2009

fDate

11-12 April 2009

Firstpage

544

Lastpage

547

Abstract

It is inevitable to be interfered by cross-term interference when frequency-hopping signal parameters are estimated using time-frequency distribution, how to curb cross-term signal interference has become a main problem of time-frequency analysis. Based on studying of adaptive optimal kernel time-frequency representation (AOK TFR) , a new time-frequency method is put forward. This kind of AOK TFR can tune its kernel ambiguity function shape by two- dimensional optimization procedure according to the characteristics of the analyzed signal. A frequency-hopping signal is analyzed with four time-frequency analysis methods, and simulation results used AOK TFR shows that better time- frequency and adaptability are obtained, and anti-noise and cross-term interference are represented.

Keywords

frequency hop communication; interference (signal); optimisation; time-frequency analysis; adaptive optimal kernel time-frequency representation; cross-term signal interference; frequency-hopping signals analysis method; optimization procedure; Analytical models; Frequency estimation; Interference; Kernel; Parameter estimation; Power measurement; Signal analysis; Signal resolution; Time frequency analysis; Uncertainty; adaptive optimal kernel function; cross-term; frequency-hopping signals; parameter estimation; time-frequency distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-0-7695-3583-8

Type

conf

DOI

10.1109/ICMTMA.2009.408

Filename

5203031