Title :
A new radar recognition method based on the Wigner trispectrum
Author :
Giess, Mohaned ; Sarafadeen, Salawu ; Qian He ; Bin Tang
Author_Institution :
UESTC, Chengdu, China
Abstract :
Conventional radar recognition methods have low recognition rate and are sensitive to changes in signal to noise ratio. In this paper, a new method of radar emitter recognition signal is proposed. The Wigner trispectrum (WT) is extract from the received signal and simplified into two dimensional characteristic. The resemblance coefficients of the two dimensional characteristic are extracted and used to differentiate radar emitter signals. The Wigner trispectrum is not sensitive to noise and it gives excellent recognition rate even at low signal to noise ratio.
Keywords :
Wigner distribution; radar detection; radar signal processing; WT; Wigner trispectrum extraction; radar emitter recognition signal; radar recognition method; signal to noise ratio; Binary phase shift keying; Feature extraction; Frequency shift keying; Radar countermeasures; Signal to noise ratio; Wigner trispectrum; radar emitter; recognition; resemblance coefficient;
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
DOI :
10.1109/CISP.2014.7003904