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Multistatic Target Tracking for Non-Cooperative Illuminating by DAB/DVB-T

机译：DAB / DVB-T的非合作照明的多静学目标跟踪

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摘要

Digital Audio/Video Broadcasting (DAB/DVB-T) [1] is already available in a large area. The advantage of using these signals for passive air surveillance is the disposability of a large range of illuminators sending an easily decodeable digital broadcast signal. In the considered multi-static scenario, one observer provides bistatic Time Difference of Arrival (TDoA) and Doppler measurements. To build a 3D multi-target tracker, information of different illuminators has to be fused. The main task is to handle ghosts, which arise due to the association problems between illuminators, targets and measurements. For real-time applications the runtime of the algorithm is another important issue. As a solution, we present a Multi Hypothesis Tracking (MHT) filter working on different stages. The first stage includes a primary tracking directly on the measurements; the second stage works on 2D-estimatcs and addresses the association problem; the final stage yields 3D information. Numerical results will include performance analysis via Monte-Carlo simulations and comparison to the trace of the covariance matrix. Estimation errors in the x/y-plane and height will be considered separately.
机译：数字音频/视频广播（DAB / DVB-T）[1]已在大面积中提供。使用这些信号的用于被动空气监测的优点是发送易于可解放的数字广播信号的大范围照明器的可缓解性。在所考虑的多静态场景中，一个观察者提供了到达的BISTOG时间差（TDOA）和多普勒测量。为了构建3D多目标跟踪器，必须融​​合不同的发光器的信息。主要任务是处理幽灵，由于照明器，目标和测量之间的关联问题而产生。对于实时应用程序，算法的运行时间是另一个重要问题。作为解决方案，我们介绍了在不同阶段工作的多假设跟踪（MHT）滤波器。第一阶段包括直接在测量上的主要跟踪;第二阶段适用于2D-emptimatcs并解决联结问题;最后阶段产生3D信息。数值结果将包括通过Monte-Carlo模拟的性能分析，并与协方差矩阵的迹线进行比较。 X / Y平面和高度中的估计误差将分别考虑。

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