The indoor wireless location technology research based on WiFi
@article{Hou2014TheIW, title={The indoor wireless location technology research based on WiFi}, author={Yuying Hou and Guoyue Sum and Binwen Fan}, journal={2014 10th International Conference on Natural Computation (ICNC)}, year={2014}, pages={1044-1049} }
The main research content of this article is based on fingerprint method of AP selection and location estimation algorithm. We introduce RANSAC algorithm used in image processing art to AP selection in the online stage for external detection. It can filter to remove the APs impacted by environmental variation, not only reduces the amount of calculation but also improves the positioning accuracy. Aiming at the disadvantages of traditional Bayesian algorithm and KNN algorithm, we improve the two…
Figures and Tables from this paper
9 Citations
An indoor positioning algorithm based on geometry and RSS clustering
- Computer Science2016 World Automation Congress (WAC)
- 2016
The affinity propagation presentation (AP) is put forward which bases on the combination of geometry and received signal strength (RSS) and possesses the advantage of fast location and higher localization accuracy.
WIFI Indoor Positioning Algorithm Based on Improved Kalman Filtering
- Computer Science2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
- 2016
Weighted fuzzy matching algorithm is used to improve positioning accuracy and improved Kalman filtering based on particle swarm optimization is used in error correction, showing that the proposed scheme has lower average error than several traditional methods.
A Weighted K-AP Query Method for RSSI Based Indoor Positioning
- Computer ScienceADC
- 2016
WF-SKL algorithm can find out K nearest positions and weighted them for re-positioning to accelerate the matching speed between online data and offline data, and also improve the efficiency of positioning.
A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing
- Computer Science
- 2020
This paper explores studies that have combined WLAN fingerprinting and image processing to build an IPS and a new concept is proposed at the end for the future development of indoor positioning models based on WLAN fingerprints and supported by imageprocessing to solve the effect of people presence around users and the user orientation problem.
A Greedy Heuristic Based Beacons Selection for Localization
- Computer ScienceICA3PP
- 2020
This paper first proposes a greedy heuristic algorithm to choose optimal beacons involved in localization, and a comprehensive set of simulations are provided to invalidate the performance of the proposed algorithm.
A General Framework Protocol for Indoor and Outdoor Location-Based Service
- Computer ScienceICIS 2015
- 2015
A general framework protocol for indoor and outdoor positioning, which includes locating data format and the transfer frame format, is proposed and the data tables and frame format of the protocol are presented.
Capturing Features and Performing Human Detection from Human Gaits Using RFID
- Computer ScienceSensors
- 2022
This paper proposes RF-Detection, a person detection system using RFID that takes step length as the standard for person detection, divides step length into specific sections according to the relationship between step length and height, and achieves high accuracy for new user detection through a large amount of training for a specific step length.
Databases Theory and Applications
- Computer ScienceLecture Notes in Computer Science
- 2016
This talk will focus on the current market for “Big Data” products, specifically those that deal with one or more of “the 3 V’s”, and discuss opportunities in this space, especially those enabled by possible disruption from new technology.
RSSI-based Floor Localization Using Principal Component Analysis and Ensemble Extreme Learning Machine Technique
- Computer Science2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)
- 2018
The experiment results show that the proposed RSSI-based method for floor localization via principal component analysis and ensemble extreme learning machine (ELM) techniques can offer a more accurate floor level estimation results than other existing algorithm.
References
SHOWING 1-5 OF 5 REFERENCES
Kernel-Based Positioning in Wireless Local Area Networks
- Computer ScienceIEEE Transactions on Mobile Computing
- 2007
It is shown that, due to the variability of RSS features over space, a spatially localized positioning method leads to improved positioning results and a kernelized distance calculation algorithm for comparing RSS observations to RSS training records is presented.
A Probabilistic Approach to WLAN User Location Estimation
- Computer ScienceInt. J. Wirel. Inf. Networks
- 2002
The feasibility of this approach is demonstrated by reporting results of field tests in which a probabilistic location estimation method is validated in a real-world indoor environment.
Dynamic Fingerprinting Combination for Improved Mobile Localization
- Computer ScienceIEEE Transactions on Wireless Communications
- 2011
DFC improves the positioning accuracy of base fingerprinting algorithms, including the Bayesian approach and a neural network model, and is applied to an actual GSM network with realistic measurements.
Location Fingerprinting In A Decorrelated Space
- Computer ScienceIEEE Transactions on Knowledge and Data Engineering
- 2008
By projecting the measured signal into a decorrelated signal space, the positioning accuracy is improved, since the cross correlation between each AP is reduced, and experimental results show that the size of training samples can be greatly reduced in the decorrelated space.
A Statistical Modeling Approach to Location Estimation
- Computer ScienceIEEE Trans. Mob. Comput.
- 2002
This work presents a location estimation method based on a statistical signal power model that is different from the prevailing geometric one and presents encouraging empirical results from simulated experiments supported by real-world field tests.