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Unmanned Aerial Vehicle Target Tracking Based on OTSCKF and Improved Coordinated Lateral Guidance Law
| Content Provider | MDPI |
|---|---|
| Author | Jiang, Wei Lyu, Yongxi Shi, Jingping |
| Copyright Year | 2022 |
| Description | This paper proposes an approach of target tracking of a ground target for UAVs using Optimal Two-Stage Cubature Kalman Filter and Improved Coordinated Lateral Guidance Law. Firstly, the Optimal Two-Stage Cubature Kalman Filter (OTSCKF) is proposed to estimate the target motion. The OTSCKF combines two-stage filtering technology with CKF to improve the estimation accuracy. Secondly, to keep a constant distance between the UAV and the target, a new guidance law based on the lateral turning equation is proposed and its asymptotic stability is proven. On this basis, a distributed tracking algorithm is designed to balance the phase difference and achieve cooperation among multi-UAVs. Thirdly, numerical experiments are performed for the tracking problems of moving targets and the results verify the effectiveness of the proposed guidance algorithm. |
| Starting Page | 188 |
| e-ISSN | 22209964 |
| DOI | 10.3390/ijgi11030188 |
| Journal | ISPRS International Journal of Geo-Information |
| Issue Number | 3 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-03-11 |
| Access Restriction | Open |
| Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Industrial Engineering Unmanned Aerial Vehicles Target Tracking Flight Guidance State Estimation |
| Content Type | Text |
| Resource Type | Article |