Title :
Radar Emitter Signal Fractal Feature Based on Wavelet Transform
Author :
Fei, Ye ; Jingqing, Luo ; Jiuming, Lv
Author_Institution :
Electron. Eng. Inst., AnHui
Abstract :
Fractal feature can describe the complexity of radar emitter signal. Wavelet transform cannot only observe signal general framework and detail, but also reduce influence of noise. Hence wavelet transform can combine with the fractal theory to study the fractal feature of radar emitter signal. First, signal is decomposed by wavelet transform, and then fractal dimension is computed in different decomposition levels, so the signals with different complexity have different fractal dimensions. In the end the simulation experiments validate that this method is effective to distinguish radar emitter signal
Keywords :
fractals; interference suppression; radar equipment; radar signal processing; wavelet transforms; fractal feature; noise reduction; radar emitter signal; signal decomposition; wavelet transform; Doppler radar; Equations; Fractals; Frequency; Polynomials; Pulse compression methods; Radar theory; Space technology; Wavelet analysis; Wavelet transforms; Daubechies wavelet; fractal dimension; radar emitter signal;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343396