Title: Study on cellular iterative location algorithm with Gaussian noise

Authors: Qinli An; Jianfeng Chen; Zhonghai Yin

Addresses: College of Marine, Northwestern Polytechnical University, 710072 Xi'an, China; College of Science, Air Force Engineering University, 710051 Xi'an, China ' College of Marine, Northwestern Polytechnical University, 710072 Xi'an, China ' College of Science, Air Force Engineering University, 710051 Xi'an, China

Abstract: Suppose that the errors of the direction of arrival (DOA) measurements obey same Gaussian distribution for each sensor in the wireless cellular network, the iterative algorithm of maximum likelihood estimation (MLE) is given for locating a user based on direction of arrival (DOA) measurements in the paper. The iterative algorithm of MLE is compared with least squares estimation (LSE) algorithm through a number of simulations at various errors and user coordinates. It is shown that MLE iterative algorithm is less error than LSE algorithm and lower complexity than MLE algorithm.

Keywords: direction of arrival; DOA; Gaussian distribution; wireless cellular networks; cellular iterative location; Gaussian noise; maximum likelihood estimation; MLE; least squares estimation; LSE; simulation.

DOI: 10.1504/IJRIS.2015.072948

International Journal of Reasoning-based Intelligent Systems, 2015 Vol.7 No.3/4, pp.209 - 213

Available online: 09 Nov 2015 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article