DocumentCode
1853746
Title
Identification of radio signal pulse modulation characteristics
Author
Ji Zhenyuan ; Wang Wei ; Liu Chunguang
Author_Institution
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Volume
3
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1910
Lastpage
1913
Abstract
In the electronic reconnaissance, the identification of radio signal pulse modulation characteristics has vital significance. Firstly, this paper adopts short time fourier transform (STFT) method to analyse the pulse modulation feature of four typical radio reconnaissance signals: linear FM signal (LFM), Tangent FM signal, binary phase coded signal (BPSK), four-phase encoded signal (QPSK). By comparing the time-frenquency curves, the FM signals and the phase modulation signals could be identified. Secondly, wigner-hough transform is used to identify LFM signal and Tangent FM signal according to their different pulse modulation characteristics. Lastly, the identification of BPSK signal and QPSK signal is achieved by extracting the N-th instantaneous frequencies difference. The experimental results show that time-frequency analysis methods that were used in the identification of signal modulation characteristics is feasible and have better noise immunity.
Keywords
Fourier transforms; Hough transforms; electronic warfare; encoding; quadrature phase shift keying; radar signal processing; time-frequency analysis; BPSK; LFM; QPSK; STFT method; Wigner-Hough transform; binary phase coded signal; electronic reconnaissance; electronic warfare; four-phase encoded signal; instantaneous frequencies difference extraction; linear FM signal; noise immunity; pulse modulation feature analysis; radar signal modulation characteristics; radio reconnaissance signals; radio signal pulse modulation characteristic identification; short time Fourier transform method; tangent FM signal; time-frequency analysis methods; instantaneous frequency; radio signal; short time fourier transform; wigner-hough transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491953
Filename
6491953
Link To Document