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Vol. 152, No. 5, May 2013, pp. 129-136




Study on the Applications of Cross-Layer Information Fusion in Target Recognition

Xing Liu, Shoushan Jiang

School of Mechanical Engineering, Northwestern Polytechnical University,

E-mail: hgyao1996@163.com



Received: 8 April 2013   /Accepted: 15 May 2013   /Published: 27 May 2013

Digital Sensors and Sensor Sysstems


Abstract: In order to improve target identification capability of the compound detection platform, the system information have been shared by using the cross-layer information fusion, the feature of the environment or the characteristics have been received by different detection platform, and using the characteristics by data link for the detection parameters of wireless sensor networks modified adjusted to improve the performance of the entire detection system by comprehensive utilization of information resources. This article have explored the combined method of the cross-layer information sharing and target identification information and proposed a cross-layer information target recognition fusion algorithm for multi-institutional, multi-layered compound network based on the combination of anti-jamming technology and evidential reasoning. The results of experiment and simulation show that the method not only expand the functionality of the system based on the original detection systems, but also more substantial the target recognition capability of the wireless sensor network, thus improving the detection performance of the compound detection system.


Keywords: Cross-layer technology, Information fusion, Anti-jamming, Evidential reasoning, Target recognition, Wireless sensor networks


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