An Approach to Target Reselection for Anti-Ship Missile Against Centroid Jamming with Accurate Tracking Information

Author:

Zhang Jianqiang1,Li Ke2ORCID,Li Yan1,Li Jialin1

Affiliation:

1. College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, P. R. China

2. College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, P. R. China

Abstract

By equaling the detection of centroid jamming to the “outlier” detection in the process of tracking with Kalman filter, an approach to target reselection for anti-ship missile against centroid jamming with accurate tracking information is proposed in this paper considering the mutation of the law of motion at the tracking point under centroid jamming. For this approach, an accurate target tracking model is built on the basis of extended Kalman filter (EKF). Using the information collected by radar seeker including distance, velocity and angle, it could achieve the accurate tracking of the target and determine the motion state of the target accurately. On this basis, the orthogonality of innovation in the process of Kalman filtering is utilized to detect any mutation of the motion state of the target, so that the existence of centroid jamming is detected when there is any mutation of the law of motion at the tracking point in the process of chaff centroid jamming. This offers a new solution for remote beyond-visual-range (BVR) anti-ship missile against centroid jamming.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Design and Intelligent Recommendation Method for Ballistic Missile Early Warning Operation Plan;International Journal of Pattern Recognition and Artificial Intelligence;2024-01-20

2. Air Defense Interception Plan Generation Method Based on Modified A* Optimization Algorithm;Electronics;2023-02-01

3. An Improved A-Star Algorithm for Complete Coverage Path Planning of Unmanned Ships;International Journal of Pattern Recognition and Artificial Intelligence;2022-02-23

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