Title :
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
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;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.408
