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Passive multitarget tracking using transmitters of opportunity

机译:使用机会发射机进行被动多目标跟踪

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摘要

Passive Coherent Location (PCL), which uses commercial signals (e.g., FM broadcast, digital TV) as illuminators of opportunity, is an emerging technology in air defense systems. The advantages of PCL are low cost, low vulnerability to electronic counter measures, early detection of stealthy targets and low-altitude detection. However, limitations of PCL include lack of control over illuminators, limited observability and poor detection due to low Signal-to-Noise Ratio (SNR). This leads to high clutter with low probability of detection of target of interest. In this paper, multiple target tracking algorithms for PCL systems are analyzed to handle low probability of detection and high nonlinearity in the measurement model due to high measurement error. The converted measurement Kalman filter, unscented Kalman filter and particle filter based PHD filter are implemented and compared for PCL radar systems. The feasibility of using transmitters of opportunity for tracking airborne targets is shown on simulated and real data sets.
机译:使用商业信号(例如FM广播,数字电视)作为机会照明器的被动相干定位(PCL)是防空系统中的一种新兴技术。 PCL的优点是成本低,对电子对抗措施的脆弱性低,对隐形目标的早期检测和低空检测。但是,PCL的局限性包括缺乏对照明器的控制,可观察性有限以及由于低信噪比(SNR)而导致的检测不良。这导致杂波高,检测到感兴趣目标的可能性低。本文针对PCL系统的多种目标跟踪算法进行了分析,以处理由于高测量误差而导致的低检测概率和高非线性模型。转换后的测量卡尔曼滤波器,无味卡尔曼滤波器和基于粒子滤波器的PHD滤波器已实现并与PCL雷达系统进行了比较。在模拟和真实数据集上显示了使用机会发射机跟踪机载目标的可行性。

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