Title of Paper:Time resource management of OAR based on fuzzy logic priority for multiple target tracking

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Affiliation of Author(s):电子信息工程学院

Journal:JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

Key Words:chance-constraint programming (CCP) fuzzy logic priority opportunistic array radar (OAR) root-mean-square error (RMSE) Bayesian Cramer-Rao lower bound (BCRLB)

Abstract:For coping with the multiple target tracking in the presence of complex time-varying environments and unknown target information, a time resource management scheme based on chance-constraint programming (CCP) employing fuzzy logic priority is proposed for opportunistic array radar (OAR). In this scheme, the total beam illuminating time is minimized by effective time resource allocation so that the desired tracking performance is achieved. Meanwhile, owing to the randomness of radar cross section (RCS), the CCP is used to balance tracking accuracy and time resource conditioned on the specified confidence level. The adaptive fuzzy logic prioritization, imitating the human decision-making process for ranking radar targets, can realize the full potential of radar. The Bayesian Cramer-Rao lower bound (BCRLB) provides us with a low bound of localization estimation root-mean-square error (RMSE), and equally important, it can be calculated predictively. Consequently, it is employed as an optimization criterion for the time resource allocation scheme. The stochastic simulation is integrated into the genetic algorithm (GA) to compose a hybrid intelligent optimization algorithm to solve the CCP optimization problem. The simulation results show that the time resource is saved strikingly and the radar performance is also improved.

ISSN No.:1004-4132

Translation or Not:no

Date of Publication:2018-08-01

Co-author:Han Qinghua,Zhang Wucai,Liang Zhiheng

Correspondence Author:Liang Zhiheng,Minghai Pan