Title :
Multi-component LFM radar emitter signal detection based on LWD
Author :
Yu, Zhibin ; Jin, Weidong ; Zhang, Gexiang
Author_Institution :
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu
Abstract :
Based on local wave decomposition (LWD), a novel approach for detecting the multi-component linear frequency modulated (LFM) radar emitter signal is proposed in this paper. Every complex radar signal is decomposed into its intrinsic mode components, meanwhile the signal local characteristics are dynamically depicted by instantaneous frequencies. The presented approach can successfully abstract the local frequency features and envelop features of every component of the multi-component LFM radar signal, and estimate the numbers and frequency offsets of component signal of the complex radar signal. Theoretical analysis and experimental results indicate that the proposed approach is effective to analyze and detect the multi-component LFM radar emitter signal.
Keywords :
FM radar; signal detection; LWD; local wave decomposition; multi-component LFM radar emitter signal detection; multi-component linear frequency modulated radar emitter; Biomedical signal processing; Chirp modulation; Frequency estimation; Frequency modulation; Radar detection; Radar signal processing; Signal analysis; Signal detection; Signal processing; Signal resolution; Instantaneous frequency; Linear frequency modulated (LFM); Local wave; Radar emitter;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594526