Penetration trajectory planning based on radar tracking features for UAV
Purpose - The purpose of this paper is to plan the penetration trajectory for unmanned aerial vehicle (UAV) in the presence of radar-guided surface to air missiles (SAMs).Design methodology approach - The penetration trajectory planning problem is modelled based on four aspects of radar tracking fea...
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| Vydáno v: | Aircraft Engineering Ročník 85; číslo 1; s. 62 - 71 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Bradford
Emerald Group Publishing Limited
01.01.2013
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| ISSN: | 1748-8842, 0002-2667, 1758-4213 |
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| Abstract | Purpose - The purpose of this paper is to plan the penetration trajectory for unmanned aerial vehicle (UAV) in the presence of radar-guided surface to air missiles (SAMs).Design methodology approach - The penetration trajectory planning problem is modelled based on four aspects of radar tracking features. As penetration just utilizes the low observability of radar cross section (RCS) to satisfy temporal constraints of tracking, the problem is formulated as multi-phase trajectory planning with detected probability (MTP-DP). While utilizing both the low observability of RCS and the radial velocity blind area of radar, the problem is formulated as multi-phase trajectory planning with detected probability and radial velocity (MTP-DP&RV). The pseudospectral multi-phase optimal control based trajectory planning algorithm is proposed.Findings - The results of the examples illustrate that the multi-phase trajectory planning method can finely utilize the radar tracking features to optimize the comprehensive efficiency of penetration. The pseudospectral multi-phase optimal control based trajectory planning algorithm could effectively solve the trajectory planning problem.Originality value - This paper provides new structured method to plan UAV penetration trajectory for military application and academic study. |
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| AbstractList | In this paper, the pseudospectral multi-phase optimal control-based trajectory planning method for UAV penetration is studied. First, the dynamics model and four aspects of radar tracking feature are discussed, especially two methods of UAV throwing off track. One is the low detected probability of the relatively smaller RCS aspect of UAV, and the other is the radial velocity blind area of radar. Purpose - The purpose of this paper is to plan the penetration trajectory for unmanned aerial vehicle (UAV) in the presence of radar-guided surface to air missiles (SAMs). Design/methodology/approach - The penetration trajectory planning problem is modelled based on four aspects of radar tracking features. As penetration just utilizes the low observability of radar cross section (RCS) to satisfy temporal constraints of tracking, the problem is formulated as multi-phase trajectory planning with detected probability (MTP-DP). While utilizing both the low observability of RCS and the radial velocity blind area of radar, the problem is formulated as multi-phase trajectory planning with detected probability and radial velocity (MTP-DP&RV). The pseudospectral multi-phase optimal control based trajectory planning algorithm is proposed. Findings - The results of the examples illustrate that the multi-phase trajectory planning method can finely utilize the radar tracking features to optimize the comprehensive efficiency of penetration. The pseudospectral multi-phase optimal control based trajectory planning algorithm could effectively solve the trajectory planning problem. Originality/value - This paper provides new structured method to plan UAV penetration trajectory for military application and academic study. |
| Author | Shen, Lincheng Liu, Hongfu Chen, Shaofei Chen, Jing |
| Author_xml | – sequence: 1 givenname: Shaofei surname: Chen fullname: Chen, Shaofei organization: Control Science and Engineering, National University of Defense Technology, Changsha, China – sequence: 2 givenname: Hongfu surname: Liu fullname: Liu, Hongfu organization: Control Science and Engineering, National University of Defense Technology, Changsha, China – sequence: 3 givenname: Jing surname: Chen fullname: Chen, Jing organization: Control Science and Engineering, National University of Defense Technology, Changsha, China – sequence: 4 givenname: Lincheng surname: Shen fullname: Shen, Lincheng organization: Control Science and Engineering, National University of Defense Technology, Changsha, China |
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| Keywords | Trajectory planning Low observability Radar Control systems Trajectories Radial velocity blind area Pseudospectral multi-phase optimal control |
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| Snippet | Purpose - The purpose of this paper is to plan the penetration trajectory for unmanned aerial vehicle (UAV) in the presence of radar-guided surface to air... In this paper, the pseudospectral multi-phase optimal control-based trajectory planning method for UAV penetration is studied. First, the dynamics model and... |
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| SubjectTerms | Aircraft Algorithms Altitude Armed forces Control systems Control theory Missiles Optimal control Penetration Planning Position tracking Radar systems Radar tracking Radial velocity Trajectories Trajectory planning Unmanned aerial vehicles Velocity |
| Title | Penetration trajectory planning based on radar tracking features for UAV |
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