Title :
An Improved Method on the Recognition of Modulation Types of Pulse Compression Signals
Author :
Tao, Chen ; Zongsheng, Jia ; Li, Li ; Xicai, Si
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
The recognition algorithm of pulse compression radar signals based on adaptive resemblance coefficient (RC) is presented in this paper. An improved algorithm of the adaptive rectangle and triangle is proposed on the basis of the pulse compression radar signal spectrums, and then joint feature distribution is constructed. Abundant simulations prove the distribution effective. Moreover, 3 times covariance is proposed as the decision rule, which is evaluated statistically. The decision standard is given for the recognition of modulation types of following signals.
Keywords :
modulation; pulse compression; radar signal processing; adaptive resemblance coefficient; modulation types; pulse compression radar signals; pulse compression signals; Computational modeling; Feature extraction; Frequency modulation; Phase shift keying; Radar; Signal to noise ratio; 3 times covariance; modulation type; pulse compression; resemblance coefficient;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.34