舰船电子工程Issue(10)：39-43,5.DOI:10.3969/j.issn.1672-9730.2015.10.011
无色卡尔曼滤波目标跟踪算法的尺度参数调整
Adaptation of Scaling Parameter for Unscented Kalman Filter Target Tracking Algorithm
摘要
Abstract
The state estimation problem of the nonlinear stochastic systems is studied by means of the unscented Kal‐man filter algorithm from target tracking process .In the unscented Kalman filter algorithm ,the state estimation is influenced by two design parameters — the scaling parameter and a covariance matrix .Because the choice of scaling parameter may lead to the increased quality of the state estimation .So here the four different criterion functions are constructed ,and the scaling parameter is chosen adaptively by minimizing one criterion function .The property of each four criterion functions is shown from their own different observed information and computation complexity .Finally ,the efficiency and possibility of the adap‐tation of scaling parameter for unscented Kalman filter target tracking algorithm is confirmed by the simulation example re‐sults .关键词
目标跟踪/无色卡尔曼滤波/尺度参数/自适应调整Key words
target tracking/unscented Kalman filter/scaling parameter/adaptation分类
信息技术与安全科学引用本文复制引用
王建宏,许莺,熊朝华..无色卡尔曼滤波目标跟踪算法的尺度参数调整[J].舰船电子工程,2015,(10):39-43,5.基金项目
部委级资助项目（863计划）（编号2013SYAB321）资助。 （）
