The Open Automation and Control Systems Journal

2014, 6 : 1011-1015
Published online 2014 December 31. DOI: 10.2174/1874444301406011011
Publisher ID: TOAUTOCJ-6-1011

A Novel Positioning Algorithm Optimized by Maximum Likelihood Estimation

Cuisong Chen and Jianqi Liu
College of Information Engineering, Guangdong Mechanical & Electrical College, Guangzhou, 510515, China.

ABSTRACT

As for most location-aware applications need the precise location information, the wireless sensor networks (WSNs) are applied to positioning. But in some situation, Time Difference of Arrival (TDOA) positioning algorithm for WSNs may result in fuzzy positioning. This paper proposes a method to optimize fuzzy positioning of TODA through maximum likelihood estimation based on the identification of causes of fuzzy positioning resulted from TODA; the simulation experiment shows that TDOA positioning algorithm optimized by maximum likelihood estimation features high positioning accuracy and excellent environmental adaptability, thus constituting a practicable solution.

Keywords:

Wireless sensor networks, TDOA positioning , maximum likelihood estimation, fuzzy positioning.