Time resource management of OAR based on fuzzy logic priority for multiple target tracking
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所属单位：电子信息工程学院
发表刊物：JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
关键字：chance-constraint programming (CCP) fuzzy logic priority opportunistic array radar (OAR) root-mean-square error (RMSE) Bayesian Cramer-Rao lower bound (BCRLB)
摘要：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号：1004-4132
是否译文：否
发表时间：2018-08-01
合写作者：Han Qinghua,Zhang Wucai,Liang Zhiheng
通讯作者：Liang Zhiheng,潘明海