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A joint beam and dwell time allocation strategy for multiple target tracking based on phase array radar system

机译:基于相控阵雷达系统的多目标跟踪束和停留时间联合分配策略

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In this paper, we will investigate a joint beam and dwell time allocation strategy for multiple targets tracking based on the phased array radar system. We achieve the resources allocation by formulating and solving an optimization problem, which is to minimize the total dwell time on all targets with the tracking accuracy of each target satisfying a pre-designed requirement. Since the Bayesian Cramer-Rao lower bound (BCRLB) provides a lower bound on the error of any unbiased estimator, it is employed as the metric for the tracking performance. The optimization problem is proved nonconvex and we solve it through a two-step decomposition algorithm. Simulation results show that the optimization strategy we propose is effective in resource saving and favourable for achieving a better tracking performance of worse targets compared to the operating mode with uniform resources allocation.
机译:在本文中,我们将研究基于相控阵雷达系统的多目标跟踪的联合波束和驻留时间分配策略。我们通过制定和解决优化问题来实现资源分配,这是为了使所有目标上的总停留时间最小化,并且每个目标的跟踪精度都满足预先设计的要求。由于贝叶斯Cramer-Rao下限(BCRLB)提供了任何无偏估计量的误差的下限,因此将其用作跟踪性能的度量。证明了优化问题是非凸的,我们通过两步分解算法对其进行了求解。仿真结果表明,与采用统一资源分配的运行模式相比,本文提出的优化策略在节约资源方面是有效的,有利于实现对较差目标的更好跟踪性能。

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