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Open AccessJournal ArticleDOI

Accurate and simple source localization using differential received signal strength

Lanxin Lin, +2 more
- 01 May 2013 - 
- Vol. 23, Iss: 3, pp 736-743
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TLDR
Two computationally attractive localization methods based on the weighted least squares approach are devised for locating an unknown-position source using received signal strength (RSS) measurements in an accurate and low-complexity manner.
About: 
This article is published in Digital Signal Processing.The article was published on 2013-05-01 and is currently open access. It has received 75 citations till now. The article focuses on the topics: Estimator & Least squares.

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Journal ArticleDOI

A Review of Indoor Localization Techniques and Wireless Technologies

H. A. Obeidat, +3 more
- 19 Feb 2021 - 
TL;DR: Comparisons between indoor localization systems in terms of accuracy, cost, advantages, and disadvantages are summarized and different detection techniques are presented.
Book ChapterDOI

Source Localization: Algorithms and Analysis

Reza Zekavat, +1 more
TL;DR: This chapter contains sections titled: Introduction Measurement Models and Principles for source Localization Algorithms for Source Localization Performance Analysis for LocalizationAlgorithms and Conclusion.
Journal ArticleDOI

RSS-Based Source Localization When Path-Loss Model Parameters are Unknown

Yaming Xu, +2 more
- 17 Apr 2014 - 
TL;DR: A ratio approach is used to eliminate the transmitting power uncertainty, combined with a search method for path-loss exponent under certain constraints, linear least squares is utilized to determine the location of the source node.
Journal ArticleDOI

Robust Differential Received Signal Strength-Based Localization

Yongchang Hu, +1 more
- 15 Jun 2017 - 
TL;DR: A new whitened model for DRSS-based localization with unknown transmit powers is first presented and investigated, and a robust semidefinite programming (SDP)-based estimator (RSDPE) is presented, which can cope with model uncertainties (imperfect PLE and inaccurate anchor location information).
Journal ArticleDOI

Robust MIMO radar target localization via nonconvex optimization

Junli Liang, +5 more
- 01 May 2016 - 
TL;DR: This paper addresses the problem of robust target localization in distributed multiple-input multiple-output (MIMO) radar using possibly outlier range measurements and derives a semidefinite relaxation formulation for the aforementioned position determination step via the maximum correntropy criterion.
References
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Journal ArticleDOI

Fundamentals of statistical signal processing: estimation theory

Steven Kay
- 01 Mar 1993 - 
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Journal ArticleDOI

Locating the nodes: cooperative localization in wireless sensor networks

Neal Patwari, +6 more
- 27 Jun 2005 - 
TL;DR: Using the models, the authors have shown the calculation of a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements in wireless sensor networks.
Journal ArticleDOI

A simple and efficient estimator for hyperbolic location

Yiu-Tong Chan, +1 more
- 01 Aug 1994 - 
TL;DR: An effective technique in locating a source based on intersections of hyperbolic curves defined by the time differences of arrival of a signal received at a number of sensors is proposed and is shown to attain the Cramer-Rao lower bound near the small error region.
Journal ArticleDOI

Relative location estimation in wireless sensor networks

Neal Patwari, +4 more
- 01 Aug 2003 - 
TL;DR: This work derives CRBs and maximum-likelihood estimators (MLEs) under Gaussian and log-normal models for the TOA and RSS measurements, respectively for sensor location estimation when sensors measure received signal strength or time-of-arrival between themselves and neighboring sensors.

Wireless Sensor Networks

Davide Brunelli
TL;DR: An overview of this new and exciting field of wireless sensor networks is provided and a brief discussion on the factors pushing the recent flurry of sensor network related research and commercial undertakings is discussed.
Related Papers (5)

Locating the nodes: cooperative localization in wireless sensor networks

Neal Patwari, +6 more
- 27 Jun 2005 - 

A simple and efficient estimator for hyperbolic location

Yiu-Tong Chan, +1 more
- 01 Aug 1994 - 

RSS-Based Location Estimation with Unknown Pathloss Model

Xinrong Li
- 01 Dec 2006 - 

Cooperative Received Signal Strength-Based Sensor Localization With Unknown Transmit Powers

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Relative location estimation in wireless sensor networks

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Frequently Asked Questions (1)
Q1. What are the contributions in "Accurate and simple source localization using differential received signal strength" ?

Locating an unknown-position source using received signal strength ( RSS ) measurements in an accurate and low-complexity manner is addressed in this paper. The main ingredients in the first algorithm development are to obtain the unbiased estimates of the squared ranges and introduce an extra variable.