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| Multicomponent LFM Signals Detection Based on Multi-scale Chirplet Sparse Signal Decomposition |
| Luo Jie-si; Yu De-jie; Peng Fu-qiang |
| State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China |
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Abstract A multicomponent LFM signals detection method based on multi-scale chirplet sparse signal decomposition is proposed to overcome the problems of cross-interference and cross-decomposition existed in the multicomponent LFM signals processing based on traditional quadratic time-frequency analysis and the atomic matching pursuit method. This method projects the multicomponent LFM signals onto the multi-scale chirplet base functions. Through the different support regions of time in which the projection coefficient is the largest, this method can separate the LFM signal component with the largest energy from the multicomponent LFM signals. The instantaneous frequency of the LFM signal component is estimated by connecting the chirplet base functions used in the current separation. Though seeking for the initial point and the slope of the instantaneous frequency curve, the center frequency and FM slope of the LFM signal component have been estimated. Simulation experiments show that the proposed method can accuratelly extract the instantaneous frequency of the multicomponent LFM signals with a strong anti-noise interference ability.
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Received: 24 November 2008
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2009, Vol. 31 
