A WLS-Based Linearized Auto-Localization Algorithm for Local Positioning Systems

Cheng Dong Wu; Zhao Li; Yun Zhou Zhang

doi:10.4028/www.scientific.net/AMR.791-793.1368

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793A WLS-Based Linearized Auto-Localization Algorithm...

A WLS-Based Linearized Auto-Localization Algorithm for Local Positioning Systems

Abstract:

The Linearized Auto-Localization (LAL) algorithm estimates the position of beacon nodes in Local Positioning Systems (LPSs) which are based on the transmission of ultrasonic signals and proposed for indoor positioning of mobile robots. In this paper we propose an improved auto-localization algorithm based on weighted least squares (WLS). The improved algorithm depends on the different error estimations which caused by the different relative positions of the beacons and the measurements nodes. Simulation results show that our WLS-based Linearized Auto-Localization Algorithm can provide improved accuracy in both distance estimation and position estimation.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1368-1372

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1368

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Online since:

September 2013

Authors:

Cheng Dong Wu, Zhao Li, Yun Zhou Zhang

Keywords:

Auto-Localization, DSA, Local Positioning Systems, Weighted Least Squares

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