Strong tracking UKF adaptive interacting multiple-model algorithm based on maneuvering hypersonic-target tracking

被引：0
|
作者：
Dai H. [1 ]
Fang J. [2 ]
Tang L. [3 ]
Wang X. [1 ]
机构：
[1] School of Basic Sciences for Aviation, Naval Aviation University, Yantai
[2] Aviation Military Representatives Office of Navy in Hanzhong, Hanzhong
[3] Unit 91213, Yantai
来源：
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | 2018年 / 26卷 / 03期
关键词：
Adaptive IMM; CS-Jerk model; Highly maneuvering target; Strong tracking UKF; Target tracking;
D O I：
10.13695/j.cnki.12-1222/o3.2018.03.010
中图分类号：
学科分类号：
摘要：
Due to the complexity, mutability and strong non-linearity of the movement of hypersonic strong maneuvering targets, the single-model tracking algorithm is difficult to achieve accurate tracking. To solve this problem, an adaptive interactive multi-model (IMM) algorithm based on strong tracking UKF is proposed. Considering the shortage of single fading factor, the algorithm introduces a multiple fading factor into the strong tracking UKF algorithm based on orthogonality principle to complete the estimation of nonlinear target states. An improved CS-Jerk model is used in the sub-model of the IMM algorithm, and the model transition probability is updated adaptively in the IMM algorithm and combined with modified CS-Jerk model to overcome the shortage of single model algorithm for high-maneuvering target tracking and realize the optimal matching between models and target motion in real time. Simulation results indicate that, compared with the existing single model algorithms and normal IMM algorithm, the proposed modified IMM algorithm significantly improves the tracking accuracy of the maneuvering hypersonic target and causes the tracking error of position and velocity be reduced at least 11.89% under various conditions. © 2018, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
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页码：338 / 345
页数：7
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