Abstract
In this paper, we present a statistical model of an indirect path generated in an ultra-wideband (UWB) human tracking scenario. When performing moving target detection, an indirect path signal can generate ghost targets that may cause a false alarm. For this purpose, we performed radar measurements in an indoor environment and established a statistical model of an indirect path based on the measurement data. The proposed model takes the form of a modified Saleh–Valenzuela model, which is used in a UWB channel model. An application example of the proposed model for mitigating false alarms is also presented.
Highlights
Accurate passive localization has become a very important technology for the purposes of security, intrusion detection, and robot tracking, to name a few
Radar measurements were conducted for the statistical modeling of an indirect path that occurred during moving target detection in indoor environments
We present an application example that applies the indirect path model introduced in Section 3 to 1D two-target tracking in an indoor environment
Summary
Accurate passive localization has become a very important technology for the purposes of security, intrusion detection, and robot tracking, to name a few. An indirect reflection that includes the target and other objects in the reflection path can cause a ghost problem [4,5,6]. We performed statistical modeling of the indirect path that occurs under an indoor human tracking condition. A comprehensive measurement campaign was performed in an indoor environment, and a cluster model was established based on the measured data. This model can be applied to reject ghost targets that are generated by an indirect path.
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