自动化学报Issue(3)：497-505,9.DOI:10.3724/SP.J.1004.2014.00497
多无源传感器去相关数据关联算法
Decorrelation-based Data Association Algorithm for Multi-passive-sensor System
摘要
Abstract
After summarizing and analyzing the multi-target data association algorithms based on the S-D assignment for multi-passive-sensor system, it is pointed out that the association algorithms above have ignored both the error introduced by the maximum likelihood estimation and the relativity between the measurements and the pseudo ones. Then, a decorrelation-based data association model is built and the unscented transform is proposed to compute the mutual covariance between measurements and the pseudo ones. Meanwhile, a new concept, the discrimination of answers, is defined to evaluate the association cost forming methods. Lastly, results of simulation have shown that the uncorrelated cost function can reflect the association probability more accurately and the proposed algorithm can achieve better performance at the cost of more computing time.关键词
数据关联/多无源传感器/去相关/无迹变换Key words
Data association/multi-passive-sensor/decorrelation/unscented引用本文复制引用
鹿传国,冯新喜,孔云波,张迪..多无源传感器去相关数据关联算法[J].自动化学报,2014,(3):497-505,9.基金项目
陕西省自然科学基金(2011JM8023)资助@@@@Support by Natural Science Foundation of Shannxi (2011JM8023) （2011JM8023）
