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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Networked target tracking With Doppler sensors
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Networked target tracking With Doppler sensors

机译：使用多普勒传感器进行网络目标跟踪

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摘要

This paper deals with the problem of tracking a moving target by means of a network of geographically dispersed nodes with Doppler sensing, communication, and processing capabilities. The problem is addressed both in a hierarchical setting, i.e., in the presence of a fusion center that can fuse data from all the local nodes, and in a peer-to-peer setting wherein each node (peer) has to locally estimate the target kinematic state only on the grounds of local measurements and of data received from its neighbors. A suitable nonlinear observability decomposition is introduced in order to single out state coordinates that can be fully observed from a single Doppler sensor. Based on such a decomposition, a novel dual-stage filtering approach to distributed Doppler-only tracking is developed. In particular, it is shown how the proposed approach can be adopted both in the presence of a fusion center by means of covariance intersection and in the peer-to-peer case by exploiting consensus algorithms. The effectiveness of the proposed algorithms is evaluated via computer simulations.
机译：本文涉及通过具有多普勒传感，通信和处理能力的地理位置分散的节点的网络跟踪运动目标的问题。在分层设置（即存在可以融合来自所有本地节点的数据的融合中心）以及对等设置（其中每个节点（对等）必须本地估计目标）的情况下解决了该问题运动状态仅基于本地测量和从其邻居接收到的数据。引入了合适的非线性可观察性分解，以找出可以从单个多普勒传感器完全观察到的状态坐标。基于这种分解，开发了一种新颖的双级滤波方法，用于分布式多普勒跟踪。特别地，示出了如何在存在融合中心的情况下通过协方差相交以及在对等情况下通过利用共识算法来采用所提出的方法。通过计算机仿真评估了所提出算法的有效性。

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