An Improved Approach for AOA/TOA using Linear Regression

Neeraj Shrivastava; Vidhya Samad

Research Article

An Improved Approach for AOA/TOA using Linear Regression

by Neeraj Shrivastava, Vidhya Samad

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 86 - Issue 8

Published: January 2014

Authors: Neeraj Shrivastava, Vidhya Samad

10.5120/15003-3152

PDF

Neeraj Shrivastava, Vidhya Samad . An Improved Approach for AOA/TOA using Linear Regression. International Journal of Computer Applications. 86, 8 (January 2014), 11-13. DOI=10.5120/15003-3152

                        @article{ 10.5120/15003-3152,
                        author  = { Neeraj Shrivastava,Vidhya Samad },
                        title   = { An Improved Approach for AOA/TOA using Linear Regression },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 86 },
                        number  = { 8 },
                        pages   = { 11-13 },
                        doi     = { 10.5120/15003-3152 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2014
                        %A Neeraj Shrivastava
                        %A Vidhya Samad
                        %T An Improved Approach for AOA/TOA using Linear Regression%T 
                        %J International Journal of Computer Applications
                        %V 86
                        %N 8
                        %P 11-13
                        %R 10.5120/15003-3152
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

There are various techniques which are previously proposed and implemented are available. These methods promise to calculate, AOA (Angle of Arrival) and TOA (Time of Arrival) accurately. Therefore, in order to design new method numerous of techniques and methods analyzed. To improve existing techniques for AOA (Angle of Arrival) and TOA (Time of Arrival), a new predictive technique is proposed. The proposed location estimation method uses mathematical expressions and statistical analysis based technique, which consume previous location pattern data and predict new position for mobile station (MS). This predictive technique is implemented using TCL scripts and NS2 simulation environment. Which is compared with previously available distance weighted method.

References

C. Chen, S. Su, and C. Lu, "Hybrid TOA/AOA Schemes for Mobile Location in Cellular Communication System", International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) Vol. 1, No. 2, June 2010. ,
F. Gustafsson and F. Gunnarsson, "Mobile Positioning Using Wireless Networks", 1053-5888/05/$20. 00©2005 IEEE, IEEE Signal Processing Magazine July 2005
L. Cong, and W. Zhuang, "Hybrid TDOA/AOA Mobile User Location for Wideband CDMA Cellular Systems", IEEE Transaction on Wireless Communications, (VOL. 1, NO. 3), JULY 2002, 1536-1276/02 © 2002 IEEE
M. A. Landolsi, A. H. Muqaibel, A. S. A-Ahmari, H. -R. Khan and R. A. A-Nimnim, "Performance Analysis of Time-of-Arrival Mobile Positioning in Wireless Cellular CDMA Networks", www. intechopen. com,

Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

AOA (Angle of Arrival) TOA (Time of Arrival) Mobile station (MS).