Time–frequency analysis based robust vehicle detection using seismic sensor

Ghosh, Ripul and Akula, Aparna and Kumar, Satish and Sardana, H.K. (2015) Time–frequency analysis based robust vehicle detection using seismic sensor. Journal of Sound and Vibration, 346. pp. 424-434. ISSN 0022-460X

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Official URL: http://www.sciencedirect.com/science/article/pii/S...


This paper presents a robust time–frequency approach based on pseudo-Wigner–Ville distribution assisted Rényi entropy (PWVD-RE) for vehicle detection. Seismic sensors are used to capture the ground vibrations generated by moving vehicles. One of the challenging tasks is to accurately localize a seismic event with minimal or no false alarm. PWVD gives the energy distribution of a non-stationary signal in the time–frequency plane. This energy distribution can be interpreted as probability density function (pdf). Rényi entropy is used as localized measure of the energy distribution. A higher value of entropy indicates the likehood of a possible seismic event. An optimized Constant False Alarm Rate (CFAR) detector is used for detection of events caused by moving vehicles. Experiments were performed with civilian vehicles for validation of the proposed method. The performance is compared with the classical spectrogram based approach. The results show significant improvement in false alarm rate and reasonable enhancement in detection rate.

Item Type: Article
Subjects: CSIO > Computational Instrumentation
Divisions: Computational Instrumentation
Depositing User: Ms. Jyotsana
Date Deposited: 09 Aug 2018 11:59
Last Modified: 09 Aug 2018 11:59
URI: http://csioir.csio.res.in/id/eprint/546

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