现代防御技术2011，Vol.39Issue(5)：119-124,6.DOI:10.3969/j.issn.1009-086x.2011.05.023
基于UKF-SOFNN的近距机动目标跟踪滤波算法
Filtering and Tracking Algorithm of Near-Distance Maneuvering Targets Based on UKF-SOFNN Method
魏高乐1
作者信息
- 1. 空军工程大学工程学院,陕西,西安,710038
- 折叠
摘要
Abstract
Tracking multi-target in clutter environment, because the distance between each target in target set may be less than the sensors resolution of explorer, the problems of bug-tracking, bait deceiving and clutter false alarm emerge. So a new filtering and tracking method named UKF-SOFNN is presented, in which the models of maneuvering targets are viewed as straight nonlinear system, and better capacity of the UKF-SOFNN for discriminating nonlinear parameters is insured by the models. The simulation shows that the new method is able to resolve the specific target in target set and track it feasibly.关键词
近距机动目标跟踪/不敏卡尔曼滤波/自组织模糊神经网络/UKF-SOFNN滤波Key words
near-distance maneuvering target tracking/ unscented Kalman filter(UKF) / self-organizing fuzzy neural network ( SOFNN ) / unscented Kalman filter self-organizing fuzzy neural nework ( UKF-SOFNN) filter分类
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魏高乐..基于UKF-SOFNN的近距机动目标跟踪滤波算法[J].现代防御技术,2011,39(5):119-124,6.
