Analysis of moving source characteristics using polynomial chirplet transform | Zendy

Lingji Xu | Zendy; Yixin Yang | Zendy; Shiduo Yu | Zendy

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Analysis of moving source characteristics using polynomial chirplet transform

Author(s) -

Lingji Xu,

Yixin Yang,

Shiduo Yu

Publication year - 2015

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.4916796

Subject(s) - polynomial , signal (programming language) , acoustics , amplitude , instantaneous phase , doppler effect , mathematics , nonlinear system , point (geometry) , signal processing , computer science , algorithm , mathematical analysis , physics , computer vision , optics , telecommunications , geometry , radar , filter (signal processing) , astronomy , programming language , quantum mechanics

The received Doppler signal of a stationary sensor, as emitted by a transiting acoustic source, is used to estimate source motion parameters, including speed, closest distance, rest frequency, and closest point of approach (CPA) time. First, the instantaneous frequency, amplitude, and CPA time are accurately estimated by the polynomial chirplet transform of the Doppler signal. Thereafter, the three other source motion parameters are obtained with a simplified amplitude-weighted nonlinear least squares method. The proposed scheme is successfully applied to the analysis of the characteristics of a moving truck.

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