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3D AOA target tracking using distributed sensors with multi-hop information sharing

机译：使用具有多跳信息共享的分布式传感器进行3D AOA目标跟踪

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Highlights•A 3D AOA tracking algorithm is proposed based on multi-hop information sharing to realize out-of-sequence data transmission.•To account for time delay of received information and to learn the network topology, a neighborhood matrix method is developed.•The proposed algorithm incorporates the estimates of out-of-sequence data employing packet-delay classification and performs close to the centralized method.AbstractThis paper investigates the problem of angle-of-arrival (AOA) target tracking in the three-dimensional (3D) space using multiple distributed sensors. Some sensors cannot share information directly because of the communication distance constraint arising from the broadcast power limitation of communication equipment. This can lead to reduced estimation performance as a result of limited information exchange. To improve the estimation performance, delayed information transmitted by intermediate sensors through multiple hops is utilized. A neighborhood matrix is proposed to sort the received information in terms of the number of hops. The information is classified into current information, 1-step delayed information and multi-step delayed information. A distributed pseudolinear Kalman filter (DPLKF) is developed based on out-of-sequence measurement updates to process the current and delayed information. Simulation examples demonstrate the effectiveness of the proposed algorithm in improving the tracking performance, in particular, during the initial convergence phase.
机译： 突出显示 • 提出了一种基于多跳信息共享的3D AOA跟踪算法，以实现无序数据传输。 • 要考虑接收到的时间延迟信息并学习网络拓扑，开发了一种邻域矩阵方法。 • 建议的算法结合了采用数据包延迟分类的乱序数据的估算值 摘要 < ce：simple-para id =“ spara0002” view =“ all”>本文研究了使用多个分布式传感器在三维（3D）空间中到达角（AOA）目标跟踪的问题。由于通信设备的广播功率限制引起的通信距离限制，某些传感器无法直接共享信息。由于有限的信息交换，这可能导致估计性能降低。为了提高估计性能，利用了中间传感器通过多跳发送的延迟信息。提出了邻域矩阵，以按照跳数对接收到的信息进行排序。该信息被分类为当前信息，1步延迟信息和多步延迟信息。基于无序测量更新开发了分布式伪线性卡尔曼滤波器（DPLKF），以处理当前信息和延迟信息。仿真实例证明了该算法在提高跟踪性能方面的有效性，尤其是在初始收敛阶段。

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