地形状态约束在地面目标跟踪中的应用

All Onder Bozdogan, M. Efe
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引用次数: 1

摘要

在GMTI雷达地面目标跟踪场景中,采用基于无气味卡尔曼滤波的VS-IMM算法和VS-SIR粒子滤波,研究了地形状态约束信息应用对跟踪性能的影响,并将上述滤波器的跟踪结果与无约束IMM滤波器的跟踪结果进行了比较。结果表明,地形状态约束的应用有助于提高跟踪算法对道路目标的跟踪性能。然而,我们也看到,当目标离开道路或接近路口时,有约束的跟踪器比无约束的跟踪器显示出更大的误差峰值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Topographic State Constraints in Ground Target Tracking
In this work, tracking performance affects of the application of topographic state constraint information was investigated in a ground target tracking scenario utilizing a GMTI radar by using unscented Kalman filter based VS-IMM algorithm as well as VS-SIR particle filter and the tracking results of the aforementioned filters were compared to the results achieved by an unconstrained IMM filter. It was observed that application of topographic state constraints helped the performance of tracking algorithms for tracking onroad targets. However, it was also seen that constrained trackers showed error spikes greater than those of the unconstrained filter when either targets left roads or approached junctions.
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