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Proceedings Paper

Ground target detection, classification, and sensor fusion in distributed fiber seismic sensor network
Author(s): Huaifei Xing; Fang Li; Hao Xiao; Yongjie Wang; Yuliang Liu
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Paper Abstract

This paper describes the ground target detection, classification and sensor fusion problems in distributed fiber seismic sensor network. Compared with conventional piezoelectric seismic sensor used in UGS, fiber optic sensor has advantages of high sensitivity and resistance to electromagnetic disturbance. We have developed a fiber seismic sensor network for target detection and classification. However, ground target recognition based on seismic sensor is a very challenging problem because of the non-stationary characteristic of seismic signal and complicated real life application environment. To solve these dificulties, we study robust feature extraction and classification algorithms adapted to fiber sensor network. An united multi-feature (UMF) method is used. An adaptive threshold detection algorithm is proposed to minimize the false alarm rate. Three kinds of targets comprise personnel, wheeled vehicle and tracked vehicle are concerned in the system. The classification simulation result shows that the SVM classifier outperforms the GMM and BPNN. The sensor fusion method based on D-S evidence theory is discussed to fully utilize information of fiber sensor array and improve overall performance of the system. A field experiment is organized to test the performance of fiber sensor network and gather real signal of targets for classification testing.

Paper Details

Date Published: 26 November 2007
PDF: 10 pages
Proc. SPIE 6830, Advanced Sensor Systems and Applications III, 683015 (26 November 2007); doi: 10.1117/12.754927
Show Author Affiliations
Huaifei Xing, Institute of Semiconductors (China)
Fang Li, Institute of Semiconductors (China)
Hao Xiao, Institute of Semiconductors (China)
Yongjie Wang, Institute of Semiconductors (China)
Yuliang Liu, Institute of Semiconductors (China)

Published in SPIE Proceedings Vol. 6830:
Advanced Sensor Systems and Applications III
Yun-Jiang Rao; Yanbiao Liao; Gang-Ding Peng, Editor(s)

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