Joint power and beam allocation of opportunistic array radar for multiple target tracking in clutter
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所属单位：电子信息工程学院
发表刊物：DIGITAL SIGNAL PROCESSING
关键字：Chance-constraint programming (CCP) Multiple target tracking Opportunistic array radar (OAR) Information reduction factor (IRF) Bayesian CRLB (BCRLB)
摘要：This paper proposes a joint power and beam allocation scheme based on chance-constraint programming (CCP) for multiple target tracking of opportunistic array radar (OAR) in cluttered domains. The objective of the scheme is to cope with complex environments, unknown target information, and insufficient resource of radar system installed in mobile platforms operating over prolonged time periods. In this scheme, the total power of transmitting beams used in estimation process is minimized by effective allocation over the targets so that the desired tracking performance is attained. Allowing for the randomness of target RCS, the CCP used for balancing tracking performance and power resource is introduced conditioned on a specified confidence level. To track the targets more efficiently, the beams are allocated to the targets with large prior Cramer-Rao lower bound (CRLB). Then, in conjunction with an information reduction factor (IRF), the tracking Bayesian CRLB (BCRLB) of the illuminated targets can be considered as a measurement criteria for resource allocation in clutter. Through Conditional Value at Risk (CVaR), the CCP is relaxed to a convex problem solved by Lagrange multipliers method with Kuhn-Tucker (KT). The simulation results verify the validity and practicability of the resource allocation scheme. (C) 2018 Elsevier Inc. All rights reserved.
ISSN号：1051-2004
是否译文：否
发表时间：2018-07-01
合写作者：Han, Qinghua,Liang, Zhiheng
通讯作者：Liang, Zhiheng,潘明海