A Feature-Level Fusion Recognition Algorithm of Radar Operation Mode Based on D-S Evidence Theory
WANG Xing
WANG Zhipeng
GUO Pengcheng
ZHOU Dongqing
DU Wenhong
WANG Chao
Abstract：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.
Keywords：radar operation mode recognitioninformation fusionD-S evidence theoryfeature-level
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 35-40 )