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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Adaptive Mobile Sensor Positioning for Multi-Static Target Tracking
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Adaptive Mobile Sensor Positioning for Multi-Static Target Tracking

机译：用于多目标跟踪的自适应移动传感器定位

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摘要

Unmanned air vehicles (UAVs) are playing an increasingly prominent role in both military and civilian applications. We focus here on the use of multiple UAV agents in a target tracking application where performance is improved by exploiting each agent's maneuverability. Local time-delay and Doppler measurements made at each UAV are used as inputs to an extended Kalman filter (EKF) which tracks the target's position and velocity. Two simple metrics are defined to quantify the accuracy of the tracking algorithm, and heading feedback to the UAVs is used to minimize the metric and improve tracking performance. A simplified version of one of the algorithms that reduces computational complexity is also presented. Simulations demonstrate the significant improvement that results when the UAV sensors are allowed to be optimally positioned during tracking.
机译：无人飞行器（UAV）在军事和民用应用中都扮演着越来越重要的角色。我们在此集中于在目标跟踪应用程序中使用多个UAV代理，通过利用每个代理的可操纵性来提高性能。在每个无人机上进行的本地时延和多普勒测量都用作扩展卡尔曼滤波器（EKF）的输入，该滤波器跟踪目标的位置和速度。定义了两个简单的指标来量化跟踪算法的准确性，并使用向无人机的航向反馈来最小化指标并改善跟踪性能。还提出了一种算法的简化版本，可降低计算复杂性。仿真表明，在跟踪过程中允许将无人机传感器最佳放置时，将带来显着改善。

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