Multi-algorithm Hybrid Location Model Based on Data Fusion

Authors:
Xiaowei Hui;Qifei Yan
Affiliations:
-;-
Venue:
CMC '10 Proceedings of the 2010 International Conference on Communications and Mobile Computing - Volume 01
Year:
2010

Citing 0
Cited 1

Improving the localization accuracy of targets by using their spatial-temporal relationships in wireless sensor networks

Journal of Parallel and Distributed Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Spread in line of the sight environment, AOA, TOA and TDOA location technology can achieve such good results, but in non-line of sight environment, the above-mentioned location have their own advantages and disadvantages, making positioning effect is not very satisfactory. Through research and analysis of the above-mentioned several positioning methods, combined with data fusion technique, this paper presents a multi-algorithm hybrid location model based on data fusion. Positioning accuracy of the algorithm has made great improvements.