无源跟踪中基于灰关联信息融合的概率数据关联算法-电子学报.PDFVIP

3 Vol. 34 No. 3 2006 3 ACTA ELECTRONICA SINICA M ar. 2006 1, 2 2 1 王杰贵 , 罗景青 , 靳学明 ( 1 38, 230031; 2 EW , 230037) : , ( DA). , (RI), , , , . DA , , ;, , , . , NN DA. : ; ; ; ; : TN953 : A : (2006) robabilisticData Association A lgorithm of assive Tracking Based on Information Fusion w ith Gray Correlation Analysis 1, 2 2 1 WANG Jiegui , LUO Jingqing, JIN Xuem ing ( 1. East Ch ina Research In stitute of E lectron ic Engin eering, H efe,i Anhu i230031, China; 2. E lectron ic Engineering In stitute, H efei, Anhu i230037, Ch in a) Abstract: T raditional P robabilistic Data Association ( PDA ) algorithm onl use the features directl correla tive w ith the target state. A new PDA algorithm based on information fusion of multifeature of the em itter in passive tracking is proposed. F irst, the association probabilit is calculated w ith gra correlation anal sis of multiple features of the target such as the RF, PR I, and PW. Further, the data association ismade and the target state is updated based on the information fusion. Compared w ith the traditional PDA algorithm, the proposed algorithm has two advantages. One is that the calculation of the association probabilit is faster andmore accurate, and the other is that the associa tion performance ismuch better. Expermi ents show that the proposed algorithm is superior to the NN algorithm and the traditional PDA algorithm. Key words: passive tracking; gra c