A Feature-Level Fusion Recognition Algorithm of Radar Operation Mode Based on D-S Evidence Theory
Xing Wang, Zhipeng Wang, Pengcheng Guo, Zhou Dongqing, Wenhong Du, Chao Wang · Journal of Air Force Engineering University · 2016
Aimed at the problems that the electromagnetic environments are becoming more complex day by day,and the radar operation mode recognition is of the limitations,a feature-level fusion recognition algo-rithm of radar operation mode based on D-S evidence theory is presented to overcome the limitations of rec-ognition method on single-platform under condition of the background of multi-platforms cooperative com-bat.Firstly,the BPAF (Basic Probability Assignment Function)is gotten with the member function. Then,according to the Dempster fusion rule,the fusion among platforms and the fusion among parame-ters are carried out successively.Finally,the radar operation mode is recognized by fusion results and deci-sion rule of radar mode.Through the simulation experiments,the recognition rate of multi-platform is av-eragely increased by 27%.The result shows that the method can improve the performance of recognition effectively.