Consistent and asymptotically efficient localization from range-difference measurements

G Zeng, B Mu, L Shi, J Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We consider signal source localization from range-difference measurements. First, we give
some readily-checked conditions on measurement noises and sensor deployment to …

Global and asymptotically efficient localization from range measurements

G Zeng, B Mu, J Chen, Z Shi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the range-based localization problem, which involves estimating an object's
position by using sensors, hoping that as the number of sensors increases, the estimate …

Approximate maximum likelihood source localization from range measurements through convex relaxation

P Oğuz-Ekim, J Gomes, J Xavier, M Stošić… - arXiv preprint arXiv …, 2011 - arxiv.org
This work considers the problem of locating a single source from noisy range measurements
to a set of nodes in a wireless sensor network. We propose two new techniques that we …

Minimax lower bounds for circular source localization

A Xu, T Coleman - 2020 IEEE International Symposium on …, 2020 - ieeexplore.ieee.org
We consider the problem of estimating the unknown location of a spatial signal defined on a
circular interval from noisy measurements. Lower bounds are derived for the minimax risk of …

Achieving asymptotic efficient performance for squared range and squared range difference localizations

S Chen, KC Ho - IEEE transactions on signal processing, 2013 - ieeexplore.ieee.org
The estimation of a source location using directly the range or range difference
measurements is difficult and requires numerical solution, which is caused by the highly non …

Global strong convexity and characterization of critical points of time-of-arrival-based source localization

YM Pun, AMC So - Computational Geometry, 2024 - Elsevier
In this work, we study a least-squares formulation of the source localization problem given
time-of-arrival measurements. We show that the formulation, albeit non-convex in general, is …

An angular approach for range-based approximate maximum likelihood source localization through convex relaxation

P Oğuz-Ekim, JP Gomes, J Xavier… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
This work considers the problem of locating a single source from noisy range measurements
to a set of nodes in a wireless sensor network. We propose two new techniques that we …

On maximum-likelihood localization of coherent signals

J Sheinvald, M Wax, AJ Weiss - IEEE transactions on signal …, 1996 - ieeexplore.ieee.org
We consider the problem of localizing multiple signal sources in the special case where all
the signals are known a priori to be coherent. A maximum-likelihood estimator (MLE) is …

Robust Localization Method Based on Non-Parametric Probability Density Estimation

CH Park, JH Chang - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents robust localization techniques that calculate location using distance
observations. In enclosed and heavily populated urban environments, the positive …

Guaranteeing practical convergence in algorithms for sensor and source localization

B Fidan, S Dasgupta… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
This paper considers localization of a source or a sensor from distance measurements. We
argue that linear algorithms proposed for this purpose are susceptible to poor noise …