&lt;title&gt;Flexible intrusion detection and early warning system&lt;/title&gt;

Mui, S.Y.; Walter, Paul A.; Mollo, Joseph

doi:10.1117/12.280665

Cited by 1 publication

(2 citation statements)

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“…A fiber seismic sensor network that contains 4 elements (or sensor nodes) is built which will be described in Sec. 2 …”

Section: Introductionmentioning

confidence: 97%

“…Conventional piezoelectric seismic sensors used in UGS or wireless sensor network (WSN) have limitations of low sensitivity, power supply and communication bandwidth. [1][2][3] The disturbance caused by electromagnetic field is an important noise source for piezoelectric sensors. While a distributed fiber sensor network can avoid these problems.…”

Section: Introductionmentioning

confidence: 99%

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Ground target detection, classification, and sensor fusion in distributed fiber seismic sensor network

Xing

Xiao

et al. 2008

Proceedings of SPIE

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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 difficulties, 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.

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“…A fiber seismic sensor network that contains 4 elements (or sensor nodes) is built which will be described in Sec. 2 …”

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%