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Penetration trajectory planning based on radar tracking features for UAV

Shaofei Chen (Control Science and Engineering, National University of Defense Technology, Changsha, China)
Hongfu Liu (Control Science and Engineering, National University of Defense Technology, Changsha, China)
Jing Chen (Control Science and Engineering, National University of Defense Technology, Changsha, China)
Lincheng Shen (Control Science and Engineering, National University of Defense Technology, Changsha, China)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 18 January 2013

573

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.

Keywords

Citation

Chen, S., Liu, H., Chen, J. and Shen, L. (2013), "Penetration trajectory planning based on radar tracking features for UAV", Aircraft Engineering and Aerospace Technology, Vol. 85 No. 1, pp. 62-71. https://doi.org/10.1108/00022661311294067

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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