Journal Article10.1109/TWC.2006.256985
RSS-Based Location Estimation with Unknown Pathloss Model
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TL;DR: From simulation results it is shown that the proposed joint estimator is especially useful for location estimation in unknown or changing environments.
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Abstract: Recently, received signal strength (RSS)-based location estimation technique has been proposed as a low-cost, low-complexity solution for many novel location-aware applications. In the existing studies, radio propagation pathloss model is assumed known a priori, which is an oversimplification in many application scenarios. In this paper we present a detailed study on the RSS-based joint estimation of unknown location coordinates and distance-power gradient, a parameter of pathloss model. A nonlinear least-square estimator is presented and the performance of the algorithm is studied based on CRB and various simulation results. From simulation results it is shown that the proposed joint estimator is especially useful for location estimation in unknown or changing environments
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Citations
Robust Indoor Positioning Provided by Real-Time RSSI Values in Unmodified WLAN Networks
Santiago Mazuelas,Alfonso Bahillo,Rubén M. Lorenzo,Patricia Fernández,F.A. Lago,E. Garcia,J. Blas,Evaristo J. Abril +7 more
TL;DR: A novel method which dynamically estimates the propagation models that best fit the propagation environments, by using only RSS measurements obtained in real time, which outperforms conventional RSS-based indoor location methods without using any radio map information nor a calibration stage is presented.
478
Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking
Guoqiang Mao,Baris Fidan +1 more
- 01 Jan 2009
TL;DR: In this paper, the authors provide a comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms in WSNs. And they provide relevant references and the latest studies emerging out of the wireless sensor network field.
343
SSD: A Robust RF Location Fingerprint Addressing Mobile Devices' Heterogeneity
TL;DR: This work derives analytically a robust location fingerprint definition, the Signal Strength Difference (SSD), and verifies its performance experimentally using a number of different mobile devices with heterogeneous hardware.
Linear Least Squares Approach for Accurate Received Signal Strength Based Source Localization
Hing Cheung So,Lanxin Lin +1 more
TL;DR: It is proved that the performance of the improved LLS estimator achieves Cramer-Rao lower bound at sufficiently small noise conditions and the variances of the position estimates are derived and confirmed by computer simulations.
261
Cooperative Received Signal Strength-Based Sensor Localization With Unknown Transmit Powers
TL;DR: A novel semidefinite programming (SDP) relaxation technique is derived by converting the ML minimization problem into a convex problem which can be solved efficiently and requires only an estimate of the path loss exponent (PLE).
258
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