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
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.
李程, 王伟, 施龙飞, 王雪松. 基于多源信息融合的有源雷达组网方式序贯识别方法[J]. 电子与信息学报, 2014, 36(10): 2456-2463.
Li Cheng, Wang Wei, Shi Long-Fei, Wang Xue-Song. Sequential Method for Netting Type Recognition of Active Radars Based on Multi-source Information Fusion. , 2014, 36(10): 2456-2463.
2014, Vol. 36 
