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A study on position estimation method for multiple targets detection for automotive radar networks

机译:汽车雷达网络多目标检测位置估计方法研究

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We research automotive radar networks with multiple radars set in the front of car. Especially, we consider data processing using measured ranges provided by the radars in order to estimate multiple target positions with high accuracy. This paper is composed of three steps. Firstly, we derive a method based on MAP estimation. Secondly, we propose a method which reduces the calculation complexity compared with the above MAP method. Finally, we introduce a method which can detect targets without ghost-targets in case the lacks of measured ranges are happened because of miss-detection. We evaluate the methods with computer simulations.
机译:我们使用轿厢前面的多个雷达研究了汽车雷达网络。特别地,我们考虑使用由雷达提供的测量范围的数据处理,以便高精度估计多个目标位置。本文由三个步骤组成。首先,我们推导了一种基于地图估计的方法。其次,我们提出了一种方法,其与上述地图方法相比减少了计算复杂性。最后,我们介绍了一种方法,可以检测没有重影目标的目标,以防缺乏测量范围,因为错过检测发生了。我们评估了计算机模拟的方法。

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