Ranging With Ultrawide Bandwidth Signals in Multipath Environments

By Davide Dardari, Andrea Conti, Ulric J. Ferner, Andrea Giorgetti, Moe Z. Win. Proceedings of the IEEE, 2009

967 citations recorded by the source corpus.

Over the coming decades, high-definition situationally-aware networks have the potential to create revolutionary applications in the social, scientific, commercial, and military sectors. Ultrawide bandwidth (UWB) technology is a viable candidate for enabling accurate localization capabilities through time-of-arrival (TOA)-based ranging techniques. These techniques exploit the fine delay resolution property of UWB signals by estimating the TOA of the first signal path. Exploiting the full capabilities of UWB TOA estimation can be challenging, especially when operating in harsh propagation environments, since the direct path may not exist or it may not be the strongest. In this paper, we first give an overview of ranging techniques together with the primary sources of TOA error (including propagation effects, clock drift, and interference). We then describe fundamental TOA bounds (such as the Cramer-Rao bound and the tighter Ziv-Zakai bound) in both ideal and multipath environments. These bounds serve as useful benchmarks in assessing the performance of TOA estimation techniques. We also explore practical low-complexity TOA estimation techniques and analyze their performance in the presence of multipath and interference using IEEE 802.15.4a channel models as well as experimental data measured in indoor residential environments.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7aab1515ff9ebf14907f7120fbe91a3537255c25

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In Electrical and Electronic Engineering

Citations in the corpus

Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances (2016, background): “, who also presented fundamental TOA bounds for ideal and multipath environment [101].”
ToneTrack: Leveraging Frequency-Agile Radios for Time-Based Indoor Wireless Localization (2015, background): “Ultra-wideband radios, which have been commercialized [47], can discern sub-nanosecond time-offlight, but performance decreases in the presence of multipath propagation and direct path blockage [10], and practical UWB radios use low data rates and power due to government regulator rules.”
WiFi-based indoor positioning (2015, background): “Current popular solutions applied to ToA are ultra wideband (UWB) systems [2].”
UWB Systems for Wireless Sensor Networks (2009, methodology): “For general discussions on ranging estimation techniques, we refer the reader to [66, 67, 68, 69 ].”
Cooperative Localization in Wireless Networks (2009, background): “, for RTOA or AOA), since the performance of delay estimation algorithms scales with the transm ission bandwidth [23].”
A Machine Learning Approach to Ranging Error Mitigation for UWB Localization (2012, background): “This latter issue is critical for high-resolution localization systems [11], [12], [15], [20], [21], since NLOS propagation result s in positively biased range estimates [29], which in turn degra de localization performance.”
A Theoretical Foundation of Network Localization and Navigation (2018, background): “The bias b kj = 0 and b (n) kj > 0 for line-of-sight (LOS) and non-line-of-sight (NLOS) propagation, respectively [61].”
Indoor Tracking: Theory, Methods, and Technologies (2015, background): “However, the presence of a high number of multipath components might make the detection of the direct path, carrying the correct distance information, a nontrivial task [33].”
Fundamental Limits of Wideband Localization— Part I: A General Framework (2010, background): “either the one-way time-of-flight of a signal in a synchroniz ed network [18], [19], [28], [29], or the round-trip time-of-fl ight in a non-synchronized network [26], [36].”