A Novel Wireless Location Algorithm Based on High Probability Measurements

Xue Rong Cui; Li Zhang; Hao Zhang; T. Aaron Gulliver

doi:10.4028/www.scientific.net/AMR.433-440.2656

Paper Titles

Research on Linear Motor for Linear Compressor
p.2635

The Problem of Absolute Stability of a Class of Lurie Switched Time-Delay Systems
p.2641

The Research of Heilongjiang State-Owned Forest Area Biomass Energy Development Model
p.2645

ITS Applications-Oriented ARGIS Technology
p.2650

A Novel Wireless Location Algorithm Based on High Probability Measurements
p.2656

UWB Positioning Performance Tests Based on Chan Algorithm in IEEE 802.15.4a Channel Model
p.2663

Research on the Multi-Parameters Matching Control of the Cooling System for the Diesel Engine on the Numerical Simulation Technology
p.2670

Solvability to Robust Output Regulation of Singular Linear Systems
p.2680

Security Region Based Dynamic Security Risk Assessment of Power Transmission System
p.2687

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440A Novel Wireless Location Algorithm Based on High...

A Novel Wireless Location Algorithm Based on High Probability Measurements

Abstract:

This paper presents a novel location algorithm for Ultra-Wideband (UWB) wireless communication based on Time Of Arrival (TOA) measurements. The traditional algorithm and mean value algorithm are compared with the proposed high probability algorithm in a three-dimensional (3D) indoor environment. The IEEE802.15.4a channel model is considered with Line-of-Sight (LOS) and Non-Line-Of-Sight (NLOS) propagation conditions, models CM1 and CM2, respectively. Performance results are presented which verify that the proposed algorithm can provide improved accuracy and robustness compared to other algorithms, particularly in poor channel environments.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

2656-2662

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.2656

Citation:

Cite this paper

Online since:

January 2012

Authors:

Xue Rong Cui, Li Zhang, Hao Zhang, T. Aaron Gulliver

Keywords:

Least Squares Error (LSE), Localization, Ranging, Time of Arrival (TOA), Ultra-Wideband (UWB)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S. Gezici and H. V. Poor, Position estimation via ultra-wide-band signals, Proc. IEEE, vol. 97, no. 2, p.386 – 403, Feb. (2009).

DOI: 10.1109/jproc.2008.2008840

Google Scholar

[2] D. Rao and R. J. Barton, Performance capabilities of UWB location and tracking systems, Proc. Asilomar Conf. on Signals, Systems and Computers, p.564 – 568, Oct. (2006).

DOI: 10.1109/acssc.2006.354811

Google Scholar

[3] O. Gremigni and D. Porcino, UWB ranging performance tests in different radio environments, http: /www. ee. ucl. ac. uk/lcs/previous/ LCS2006/53. pdf.

Google Scholar

[4] S. Canovic, Application of UWB technology for positioning, a feasibility study, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, Oct. (2007).

Google Scholar

[5] Y. Pang, Study on Precise Positioning Algorithm of UWB, Beijing Jiaotong University, Feb. (2006).

Google Scholar

[6] A. F. Molisch et al., IEEE 802. 15. 4a Channel Model- Final Report, IEEE 802. 15-04-0662-00-004a, Nov. (2004).

Google Scholar