Title :
Sorting Radar Emitter Signal Based on Wpt6 and Cr1
Author :
Yang, Zhi-Xiang ; Zhu, Yuan-qing ; Li, Xiao-Ning ; Su Wei
Author_Institution :
Air Force Radar Acad., Wuhan, China
Abstract :
Sorting rate of common method is not high and it is sensitive to the signal noise ratio (SNR), in order to solve these problems, a novel sorting algorithm for radar emitter is proposed. The Wpt6 and Cr1 is extracted firstly and used as the sorting basis when the unknown radar emitter signal is received, then the radar emitter sorting is realized by the Kohonen neural network. Simulation result shows that this new method can get higher correct rate than traditional method.
Keywords :
neural nets; radar signal processing; Kohonen neural network; radar emitter signal; signal noise ratio; sorting algorithm; Arithmetic; Feature extraction; Frequency; Neural networks; Packaging; Radar; Signal to noise ratio; Sorting; Space vector pulse width modulation; Wavelet analysis;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5301224
