用于超宽带雷达的粒子滤波

T. Thiasiriphet, J. Lindner
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引用次数: 3

摘要

众所周知,超宽带在定位和雷达应用方面非常有用。使用超宽带信号可以提供高精度的距离测量,但高衰减和低信噪比以及静止杂波造成了一个很大的挑战。如果在生命体征检测中必须跟踪移动的物体,情况就会变得更糟,这就是本文的背景问题。我们提出了一种基于粒子滤波的算法来处理这些问题。它包括一个运动模型。结果表明,与更传统的算法相比,该算法有了显著的改进。
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Particle filtering for UWB radar applications
UWB has been well-known to be useful for localization and radar applications. The use of UWB signals can provide distance measurements with high accuracy, but a big challenge is caused by high attenuation and low signal-to-noise ratios as well as by stationary cluttering. The situation gets worse if a moving object must be tracked as is given in vital sign detection, a problem which is the background for this contribution. We propose an algorithm based on particle filtering for coping with these problems. It includes a movement model. The results show significant improvements compared to more conventional algorithms.
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