Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Suboptimal Soft Range Estimators With Applications in UWB Sensor Networks
IEEE Transactions on Signal Processing - Part I
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
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In this paper we investigate the possible benefits and drawbacks of using a previously proposed "soft" ranging algorithm for tracking moving objects in indoor scenarios. The objects considered in this work could be either passive point scatterers or active relays. A number of ultra-wide band transceivers are deployed throughout the environment, and they are used to estimate multi-path propagation delays, that constitute the input data to the tracking algorithm. The motivation behind this work is that "soft" ranging algorithm enables both estimation of ranging error on a measurement-by-measurement basis, and also a straight-forward approach to multiple-hypotheses testing (MHT). Thus, this type of ranging algorithm is likely to fit well into a filter-bank tracking system. Computer simulations based on Ray-tracing propagation data indicates that the proposed approach enables both more robust and also more accurate positioning than when a more conventional threshold-based technique is used for ranging.