DocumentCode :
573949
Title :
Sorting and recognition of intra-pulse modulation signals based on FRFT
Author :
Lipeng, Gao ; Juan, Jia ; Yuning, Zhao
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
fYear :
2012
fDate :
27-30 May 2012
Firstpage :
494
Lastpage :
497
Abstract :
As extracting the intra-pulse features of the signal is an effective method to solve the problem of the complex radar signals sorting and recognition. An algorithm to recognition of radar intrapulse modulation based on fractional Fourier transform(FRFT) was proposed in this paper. First the different modulated signals are processed by fractional Fourier transform with the order p from 0 to 4. The curve of amplitude v varying with order p is obtained. Then extract p value corresponding of the peak, peak value and kurtosis of the curve to construct a new feature vector as the complement to classical parameters. At last the cluster sorting method is used to complete the sorting work of the different modulated signals. The efficiency of extracted feature vectors for signal sorting is confirmed by computer simulation.
Keywords :
Fourier transforms; pulse modulation; radar signal processing; FRFT; cluster sorting method; complex radar signals; computer simulation; feature vector; fractional Fourier transform; intra-pulse features; intra-pulse modulation signals; modulated signals; radar intrapulse modulation; signal sorting; Binary phase shift keying; Feature extraction; Fourier transforms; Radar; Sorting; Vectors; Fractional Fourier Transform (FRFT); signal sorting; the intra-pulse features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Millimeter Waves (GSMM), 2012 5th Global Symposium on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1302-5
Type :
conf
DOI :
10.1109/GSMM.2012.6314387
Filename :
6314387
Link To Document :
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