Convex Optimization
An Introduction to RFID Technology
IEEE Pervasive Computing
Numerical Optimization: Theoretical and Practical Aspects (Universitext)
Numerical Optimization: Theoretical and Practical Aspects (Universitext)
Time of arrival estimation for UWB localizers in realistic environments
EURASIP Journal on Applied Signal Processing
Super-resolution TOA estimation with diversity for indoor geolocation
IEEE Transactions on Wireless Communications
A GLRT approach to data-aided timing acquisition in UWB radios-Part I: algorithms
IEEE Transactions on Wireless Communications
Multi-Dimensional Detector for UWB Ranging Systems in Dense Multipath Environments
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Channel estimation for ultra-wideband communications
IEEE Journal on Selected Areas in Communications
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
Two-stage acquisition for UWB in dense multipath
IEEE Journal on Selected Areas in Communications - Part 1
Time of arrival and power delay profile estimation for IR-UWB systems
Signal Processing
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Time of arrival (TOA) estimation in multipath dense environment for UWB backscattering radio frequency identification (RFID) system is challenging due to the presence of strong clutter. In addition, the backscattering RFID system has peculiar signal transmission and modulation characteristics, which are considerably different from conventional communication and localization systems. The existing TOA estimators proposed for conventional UWB systems are inappropriate for the backscattering RFID system since they lack the required clutter suppression capability and do not account for the peculiar characteristics of backscattering system. In this paper, we derive a nondata-aided (NDA) least square (LS) TOA estimator for UWB backscattering RFID system. We show that the proposed estimator is inherently immune to clutter and is robust in under-sampling operation. The effects of various parameter settings on the TOA estimation accuracy are also studied via simulations.