Title :
Classification scheme for airplane targets based on empirical mode decomposition
Author :
Wang Baoshuai ; Du Lan ; Li Yanbing ; Ruan Long ; Liu Hongwei
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Abstract :
This paper proposes a new method for the classification problem of turbojet aircraft, prop aircraft and helicopter under the condition of low-resolution radar system. Based on the jet engine modulation (JEM) characteristics of the aircrafts´ radar echoes, we use the Empirical Mode Decomposition (EMD) algorithm to extract the three-dimensional micro-Doppler feature vector. Experimental results based on the simulated training data and the measured test data are presented, including the performance analysis for different Signal-Noise-Ratio (SNR) cases and comparison with some related methods.
Keywords :
Doppler radar; airborne radar; echo; feature extraction; helicopters; modulation; radar resolution; EMD algorithm; SNR; airplane target; classification scheme; empirical mode decomposition algorithm; helicopter; jet engine modulation; low-resolution radar system; microDoppler feature vector extraction; performance analysis; prop aircraft; radar echoes; signal-noise-ratio; turbojet aircraft; Empirical Mode Decomposition (EMD); Feature extraction; Jet engine modulation (JEM); Micro-Doppler;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0286