On the accuracy of cellular mobile station location estimation

By Maurizio A. Spirito. IEEE Transactions on Vehicular Technology, 2001

302 citations recorded by the source corpus.

Subfields: Computational Mechanics, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/91777748ef42a7a2bb314c78b8fec61f8f67fc0e

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In Computational Mechanics

In Electrical and Electronic Engineering

In Signal Processing

Citations in the corpus

A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments (2019, methodology): “A theoretical location accuracy measure for 2-D localization is derived in [43]: M = √√√ ∑k∈SA σ−2 k ∑ k∈SA ∑ u ∈S A u > k ( σ−2 k σ−2 u Λ 2 ku ) , (20)”
Best linear unbiased estimator approach for time-of-arrival based localisation (2008, unknown): “156 & T”
Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking (2009, methodology): “Cramér-Rao bounds have been derived for these performance measures for location estimates using ToA and TDoA measurements (Spirito 2001; Qi and Kobayashi 2002; Botteron et al. 2004).”
Network-based wireless location: challenges faced in developing techniques for accurate wireless location information (2005, background): “(These are several studies in the literature that compare the performance of different fusion algorithms, e.g. [26], [27].)”
Least squares algorithms for time-of-arrival-based mobile location (2004, methodology): “Common location approaches are based on time-of-arrival (TOA), received signal strength (RSS), time-difference-of-arrival (TDOA), or angle-of-arrival (AOA) measurements determined from the MS signals received at the BSs [6]–[10].”
Location, Localization, and Localizability (2010, unknown): “Eliminating the impact of ranging errors, the error amplification effect caused by the node geometry has been demonstrated as the Geographic Dilution of Precision (GDoP)([63]), which is defined as σ0/σ.”
A Constrained Least Squares Approach to Mobile Positioning: Algorithms and Optimality (2006, unknown): “The first approach [9] [10] [11] [12] is to solve them TDOA Time-difference-of-arrival”
Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2018, methodology): “The 2G GSM location methods are further reviewed in [11], where the accuracy of circular, hyperbolic and mixed trilateration is geometrically analysed according to a typical cellular network deployment.”
Analysis of wireless geolocation in a non-line-of-sight environment (2006, methodology): “The geometric dilution of precision (GDOP) and the Cramer-Rao Lower Bound (CRLB) are two types of measures for the positioning accuracy, and are well discussed for the LOS (single-path propagation) case [8]– [10].”
RSS-Based Location Estimation with Unknown Pathloss Model (2006, methodology): “Thus, the same analysis in [23] applies here; that is, for unbiased RSS-UDPG location estimators, GDOP tends to infinity when at least n− 1 reference nodes lie along a half straight line originated from target node, while for unbiased RSS location estimators, GDOP tends to infinity when all referenc”
Fundamental Limits of Wideband Localization— Part I: A General Framework (2010, methodology): “ncertainty. The Crame´rRao bound (CRB) sets a lower bound on the variance of estimates for deterministic parameters [50], [51], and it has been used as a performance measure for localization accuracy [52]. However, relatively few studies have investigated the effect of multipath and NLOS propagation”