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Optimal deployment of vehicles with circular formation for bearings-only multi-target localization

机译:具有圆形形成的车辆的最佳部署 - 仅用于多目标本地化

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摘要

This paper focuses on the optimal deployment problem of multiple mobile vehicles with circular formation for multi-target localization using bearings-only sensors. Initially, a general closed-form formula of geometric dilution of precision (GDOP) is derived based on the Cramer-Rao lower bound (CRLB) for bearings-only localization. By this generalized formula, the analytical formula of GDOP for multiple vehicles containing the same observation noise variance with circular formation is then deduced directly. Next, the necessary and sufficient condition for sensor placement optimality with the minimization of GDOP is presented, which guarantees what are the best positions where the vehicles should be in the desired observation circumference with the given radius centered at the target. The optimal deployment positions as well as the global minimum of GDOP are then proposed with analytical expressions. Furthermore, an efficient optimal deployment algorithm is developed to deploy the vehicles to approach the best positions as precisely as possible for practical multi-target localization. Finally, an illustrative example is used to demonstrate the effectiveness of the proposed approach. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文侧重于使用轴承传感器的多目标定位具有圆形形成的多个移动车辆的最佳部署问题。最初,基于克拉姆-RAO下限(CRLB)来推导出精确稀释的一般闭合式公式,用于唯一的轴承定位。通过该一般性公式,然后直接推导出含有含有相同观察噪声差异的多载体的GDOP的分析配方。接下来,提出了具有最小化GDOP的传感器放置最佳状态的必要和充分条件,这保证了车辆应该在所需的观察圆周处具有所需的定位的最佳位置。然后用分析表达提出最佳部署位置以及全局GDOP的全局最小值。此外,开发了一种有效的最佳部署算法以部署车辆以尽可能地恰好地接近最佳位置,以便实际的多目标定位。最后,使用说明性示例来证明所提出的方法的有效性。 (c)2019年elestvier有限公司保留所有权利。

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