De-jie YU(于德介), Jie-si LUO(罗洁思), Mei-li SHI(史美丽)
State Key Laboratory of Advanced Design and Manufacturing for Veh icle Body, Hunan University, Changsha 410082, China
Abstract-An approach based on multi-scale chirplet sparse sig nal decomposition is proposed to separate the multi-component polynomial phase signals, and estimate their instantaneous frequencies. In this paper, we have ge nerated a family of multi-scale chirplet functions which provide good local cor relations of chirps over shorter time interval. At every decomposition stage, we build the so-called family of chirplets and our idea is to use a structured al gorithm which exploits information in the family to chain chirplets together ada ptively as to form the polynomial phase signal component whose correlation with the current residue signal is largest. Simultaneously, the polynomial instantane ous frequency is estimated by connecting the linear frequency of the chirplet fu nctions adopted in the current separation. Simulation experiment demonstrated th at this method can separate the components of the multi-component polynomial ph ase signals effectively even in the low signal-to-noise ratio condition, and e stimate its instantaneous frequency accurately.
Key words-multi-scale chirplet base function; multi-c omponent polynomial phase signals; instantaneous frequency; signal-to-noise ra tio
Manuscript Number: 1674-8042(2010)01-0017-05
dio: 10.3969/j.issn.1674-8042.2010.01.03
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