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Target TOA association with the hough transform in UWB radars

机译：目标TOA与UWB雷达中的霍夫变换的关联

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摘要

An ultrawideband (UWB) multistatic radar system, typically composed of one transmitter and several receivers, is a promising solution for tracking intruders moving inside a surveillance area. In this paper, the Hough transform is used to find the time-of-arrival (TOA) curves of the targets in the scan versus propagation time image for impulse-radio UWB multistatic radars. In order to parametrize these curves, which associate target TOAs over scan time, a straight-line constant-velocity mobility model is assumed for the target, providing a reasonable computational complexity and data storage requirement. The performance of our approach is verified by experimental measurements for a single target scenario in an indoor environment, where a dense clutter is observed.We show that the target TOA points can be well discriminated from false alarms and associated over scan time, forming the target TOA curves. These TOA curves can be estimated with a good accuracy, even though the target is missed at some points. In practice, before applying our TOA association algorithm, we have to remove the unwanted clutter. Because the conventional empty-room method generates too many false alarms due to shadowing effects in indoor environments, we also develop a modified empty-room clutter removal technique and we show that it can considerably reduce the number of false alarms.
机译：通常由一个发射器和几个接收器组成的超宽带（UWB）多基地雷达系统是一种跟踪在监视区域内移动的入侵者的有前途的解决方案。在本文中，霍夫变换用于在脉冲无线电UWB多静态雷达的扫描时间与传播时间图像中找到目标的到达时间（TOA）曲线。为了对这些曲线进行参数化，这些曲线在扫描时间内将目标TOA关联起来，我们为目标假设了一条直线恒速迁移模型，提供了合理的计算复杂性和数据存储要求。通过在室内环境中观察到密集杂波的单个目标场景进行实验测量，我们的方法的性能得到了验证，结果表明目标TOA点可以很好地与错误警报区分开并在整个扫描时间内相关联，从而形成目标TOA曲线。即使在某些点上未击中目标，也可以以较高的准确性估算这些TOA曲线。在实践中，在应用我们的TOA关联算法之前，我们必须去除不需要的杂波。由于传统的空房间方法由于室内环境中的阴影效应而产生过多的虚假警报，因此，我们还开发了一种改进的空荡房间杂波消除技术，我们证明了它可以大大减少虚假警报的数量。

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