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Multiple Unresolved Target Localization and Tracking using Colocated MIMO Radars

机译:使用共置MIMO雷达的多个未解决的目标定位和跟踪

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摘要

In this paper localization and tracking of multiple unresolved targets using a colocated multiple input multiple output (MIMO) radar is addressed. The commonly-used model for colocated MIMO radars is modified in order to guarantee the observability in received measurements. Then, a maximum likelihood estimator is derived for localizing multiple targets falling within a certain resolution cell. The Cramer-Rao lower bound (CRLB) for localization with the new model is also derived. For the tracking part, a multiple-hypothesis-based approach is used to deal with the uncertainty in target state estimation. In addition, an unscented Kalman filter (UFK) based estimator is used to tackle the nonlinearity in the measurement model. Finally, the posterior CRLB (PCRLB) is derived to evaluate the consistency of tracking results. Simulation results confirm the superiority of the proposed approach in resolving multiple targets over using the standard localization results for tracking.
机译:在本文中,解决了使用共置多输入多输出(MIMO)雷达对多个未解决目标进行定位和跟踪的问题。修改了用于共置MIMO雷达的常用模型,以确保接收到的测量结果具有可观察性。然后,导出最大似然估计器以定位落入某个分辨率单元内的多个目标。还推导了使用新模型进行本地化的Cramer-Rao下界(CRLB)。对于跟踪部分,使用基于多重假设的方法来处理目标状态估计中的不确定性。另外,基于无味卡尔曼滤波器(UFK)的估计器用于解决测量模型中的非线性问题。最后,得出后CRLB(PCRLB)以评估跟踪结果的一致性。仿真结果证实了与使用标准定位结果进行跟踪相比,该方法在解决多个目标方面的优势。

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