多站测时差多目标静态数据关联算法  

Multi-sensor-multi-target TDOA Static Data Association Algorithm

作　　者：李瑞[1] 李红英[1] 曾梦雪 余侃民[1] 

机构地区：[1]空军工程大学信息与导航学院,西安710077 [2]中国航天科工集团第四研究院红峰控制公司,孝感432000

出　　处：《科学技术与工程》2014年第13期198-202,共5页Science Technology and Engineering

基　　金：陕西省自然科学基金(2011JM8023)资助

摘　　要：对极大似然比准则下多站测时差多目标静态数据关联问题进行研究,提出了一种新的基于代价函数修正的数据关联算法。指出传统的数据关联算法没有充分考虑关联假设对应目标位置估计随机性的影响,继而对度量关联假设关联程度的代价函数进行修正,再利用S-维分配完成关联判决。最后仿真实验表明所提算法计算复杂度有所提高,但是进一步提高了关联正确率。Focuses on multi-sensor-multi-target TDOA static data association based on the maximum likelihood ratio rule. A novel data association algorithm is proposed through modifying the cost function. The traditional association algorithm hasn’t taken the randomness of target position estimation corresponding to the association hypothesis into consideration. So the cost function which is used to measure the association metric is modified. Then the S-Dimension assignment model is used to solve the association judgments. Finally the simulation experiment is made and the results have shown the proposed algorithm can get higher correct association ratio in the cost of more computing complexity.

关 键 词：数据关联 测时差 代价函数 

分 类 号：TN953[电子电信—信号与信息处理]