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| Sequential Method for Netting Type Recognition of Active Radars Based on Multi-source Information Fusion |
| Li Cheng Wang Wei Shi Long-fei Wang Xue-song |
| State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China |
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Abstract In order to identify the netting type of active radar networks, the Dempster-Shapher (D-S) evidence theory is applied to solve the problem of sequential information fusion, and a sequential method for netting type recognition of active radars is presented based on multi-source information fusion. Firstly, features are extracted from the information of active radars and communication transmitters, which is obtained by reconnaissance equipments. Then the matching degrees between feature vector and different radar netting types are calculated combining with expert system. Finally, identification of 4 ordinary netting types of active radars is implemented by evidence modification and fusion using an improved mutual weight combination algorithm. Simulation results show that the proposed method is applicable and effective.
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Received: 31 October 2013
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Corresponding Authors:
Li Cheng
E-mail: lchnudt@gmail.com
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2014, Vol. 36 
