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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

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Published on: August 30, 2013

Analysis of moving source characteristics using polynomial chirplet transform.

Lingji Xu¹, Yixin Yang¹, Shiduo Yu¹

¹School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China xulingji@mail.nwpu.edu.cn, yxyang@nwpu.edu.cn, chitianysd@foxmail.com.

The Journal of the Acoustical Society of America

|April 30, 2015

Summary

This study introduces a new method to track moving objects using Doppler signals. The technique accurately estimates speed, distance, and closest approach time for acoustic sources like trucks.

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Area of Science:

Acoustics and Signal Processing
Mechanical Engineering and Vehicle Dynamics

Background:

Acoustic Doppler signals from moving sources contain rich information about their motion.
Accurate estimation of source motion parameters is crucial for various applications, including vehicle tracking and safety systems.

Purpose of the Study:

To develop and validate a novel method for estimating acoustic source motion parameters using Doppler signals.
To accurately determine speed, closest distance, rest frequency, and closest point of approach (CPA) time.

Main Methods:

Utilizing the polynomial chirplet transform to precisely estimate instantaneous frequency, amplitude, and CPA time from Doppler signals.
Employing a simplified amplitude-weighted nonlinear least squares method to derive remaining motion parameters.

Main Results:

The polynomial chirplet transform accurately estimated key signal characteristics and CPA time.
The nonlinear least squares method successfully determined the remaining motion parameters.
The proposed scheme demonstrated effectiveness in analyzing the characteristics of a moving truck.

Conclusions:

The developed method provides a robust and accurate approach for acoustic source motion estimation.
This technique has practical applications in real-world scenarios, such as monitoring moving vehicles.