Super-resolution TOA estimation with diversity for indoor geolocation

By Xinrong Li, Kaveh Pahlavan. IEEE Transactions on Wireless Communications, 2004

606 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/8f2ed163d8231b04416cc169975b18070b4e7531

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In Electrical and Electronic Engineering

In Signal Processing

Citations in the corpus

Precise Power Delay Profiling with Commodity Wi-Fi (2015, methodology): “Deriving power delay profile using IFFT, however, requires continuous CSI report in frequency domain [24].”
ToneTrack: Leveraging Frequency-Agile Radios for Time-Based Indoor Wireless Localization (2015, methodology): “We begin with the classical MUSIC algorithm [25, 41], which models the multipath indoor radio propagation channel h(t) as the sum”
Modeling of the TOA-based distance measurement error using UWB indoor radio measurements (2006, methodology): “The most frequently used distance measurement method for accurate indoor positioning is time-of-arrival (TOA) estimation of the direct path (DP) using ultra-wideband (UWB) technology [4] [5] [6].”
WiFi-based indoor positioning (2015, methodology): “The state-of-the-art methods to improve ToA use super-resolution estimation, which is based on subspace decomposition of the autocorrelation matrix and requires the calculation of an inverse matrix with its eigenvectors [12, 13].”
RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers (2009, background): “Multiple proprietary access points act as sensors that independently determine the “angle-of-arrival” of the UWB signal [11] and the “time difference of arrival” between a pair of sensors in order to perform positioning.”
Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing (2012, background): “Compared with other measurement-based algorithms, (e.g., time-of-arrival (TOA) or angle-of-arrival (AOA) measurements of ultrawideband (UWB) signals [7]), RSS can be easily obtained by a WiFi-integrated mobile device, without any additional hardware.”
Kernel-Based Positioning in Wireless Local Area Networks (2007, background): “Although a small subset of these works have explored the use of Time of Arrival (ToA) [18] and Angle of Arrival (AoA) [19] in the context of indoor WLANs, received signal strength (RSS) is generally the feature of choice for WLAN positioning.”
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, methodology): “Although some enhancements have been proposed for non-LOS (NLOS) conditions [49], [50], the localization errors are high [46].”
RSS-Based Location Estimation with Unknown Pathloss Model (2006, background): “It is well known that TOA-based systems require high-precision timing and synchronization components; signal processing techniques to combat multipath effects further increase system complexity [6], [10].”
Free Your CSI: A Channel State Information Extraction Platform For Modern Wi-Fi Chipsets (2019, methodology): “We repeated the large band experiment from [6] for discriminating two paths very close in space [17] by means of the MUSIC algorithm.”