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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Road-map assisted ground moving target tracking
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Road-map assisted ground moving target tracking

机译：路线图辅助地面移动目标跟踪

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Tracking ground targets with airborne GMTI (ground moving target indicator) sensor measurements proves to be a challenging task due to high target density, high clutter, and low visibility. The exploitation of nonstandard background information such as road maps and terrain information is therefore highly desirable for the enhancement of track quality and track continuity. The present paper presents a Bayesian approach to incorporate such information consistently. It is particularly suited to deal with winding roads and networks of roads. The target dynamics is modeled in quasi one-dimensional road coordinates and mapped onto ground coordinates using linear road segments taking road map errors into account. The case of several intersecting roads with different characteristics, such as mean curvature, slope, or visibility, is treated within an interacting multiple model (IMM) scheme. Targets can be masked both by the clutter notch of the sensor and by terrain obstacles. Both effects are modeled using a sensor-target state dependent detection probability. The iterative filter equations are formulated within a framework of Gaussian sum approximations on the one hand and a particle filter approach on the other hand. Simulation results for single targets taken from a realistic ground scenario show strongly reduced target location errors compared with the case of neglecting road-map information. By modeling the clutter notch of the GMTI sensor, early detection of stopping targets is demonstrated
机译：由于高目标密度，高杂波和低能见度，使用机载GMTI（地面移动目标指示器）传感器测量跟踪地面目标被证明是一项艰巨的任务。因此，非常需要利用非标准背景信息，例如道路地图和地形信息，以提高轨道质量和轨道连续性。本文提出了一种贝叶斯方法来始终如一地合并此类信息。它特别适合处理弯曲的道路和道路网。目标动力学以准一维道路坐标建模，并使用线性路段（考虑了道路地图误差）映射到地面坐标。在交互多模型（IMM）方案中处理了具有不同特征（例如平均曲率，坡度或可见性）的几条相交道路的情况。传感器的杂乱切口和地形障碍都可以掩盖目标。两种效应均使用与传感器目标状态相关的检测概率进行建模。一方面，在高斯和近似的框架内，另一方面在粒子滤波方法的框架内，制定了迭代滤波器方程。与忽略路线图信息的情况相比，从实际地面情况中获取的单个目标的仿真结果表明，目标位置误差大大降低了。通过对GMTI传感器的杂波陷波进行建模，可以演示对停止目标的早期检测

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