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
Hlavní autoři: Chen, Shaofei, Liu, Hongfu, Chen, Jing, Shen, Lincheng
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.
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
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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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StartPage 62
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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