Title :
Target signal recognition for CW Doppler proximity radio detector based on SVM
Author :
Zhiqiang Li ; Xinhong Hao ; Huiling Chen ; Ping Li
Author_Institution :
Nat. Key Lab. of Mechatron. Eng. & Control, Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, we propose the amplitude modulation (AM) bandwidth and the frequency modulation (FM) bandwidth for far-field point target model and near-field multi-point target model, and analyze the statistical differences of their distributions. The result shows that there exists a significance difference between the distribution of AM (resp. FM) bandwidth under the model of ideal far-field point-target and near-field multi-point target. The two bandwidths, namely AM bandwidth and FM bandwidth, have been used as an input to support vector machine (SVM) for classifying far-field deceptive jamming signal and the near-field body target signal. The simulation results show the effectiveness of the proposed method for classification.
Keywords :
Doppler effect; amplitude modulation; frequency modulation; jamming; signal classification; statistical analysis; support vector machines; AM bandwidth; AM distribution; CW Doppler proximity radio detector; FM bandwidth; FM distribution; SVM; amplitude modulation bandwidth; far-field deceptive jamming signal classification; far-field point target model; frequency modulation bandwidth; near-field body target signal; near-field multipoint target model; statistical differences; support vector machine; target signal recognition; Bandwidth; Detectors; Doppler effect; Frequency modulation; Jamming; Kernel; Support vector machines; AM bandwidth; FM bandwidth; machine (SVM); proximity radio detector; support vector;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885240
