A Simple Estimator of Multiple Target Positions for Automotive Short Range Radar Networks
A Simple Estimator of Multiple Target Positions for Automotive Short Range Radar Networks
复制标题
汽车短程雷达网络多目标位置的简单估计器
DOI：
10.1109/vetecs.2007.517
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
M. Katayama
中科院分区：
文献类型：
--
作者：
Hiroyuki Hatano;T. Yamazato;Hiraku Okada;M. Katayama
对于安全应用，汽车雷达网络显示出有趣的潜力。除了远程雷达外，联网的短程雷达系统也在开发之中。可以完成其他应用，包括预碰撞检测，停车辅助和盲点监视。我们研究的汽车雷达网络使用短距离雷达。该网络由多个雷达组成。在本文中，我们考虑使用雷达提供的测量范围的数据处理，以估计多个目标的位置，具有高精度。首先，我们推导了一种基于MAP估计的方法。其次，我们提出了一种方法，降低了计算复杂度相比，上述MAP方法。最后，我们介绍了一种方法，它可以检测到低未检测目标的目标。这种情况经常发生时，测量范围丢失，因为错过检测。我们评估的性能与计算机模拟。
For safety applications, automotive radar networks show an interesting potential. Apart from long range radars, networked short range radar systems are under development. Additional applications can be accomplished, such includes precrash detection, parking aid and blind spot surveillance. We research the automotive radar networks using short range radars. The network is built with multiple radars. In this paper, we consider data processing using measured ranges provided by the radars in order to estimate multiple target positions with high accuracy. Firstly, we derive a method based on MAP estimation. Secondly, we propose a method which reduces the calculation complexity compared to the above MAP method. Finally, we introduce a method which can detect targets with low undetected targets. The case often happens when the measured ranges are lost because of miss-detections. We evaluate the performance with computer simulations.