Research Article
An AR Model Based Robust DOA Estimation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 2 - Issue 1 |
| Published: May 2010 |
| Authors: K.Radhakrishnan, A.Unnikrishnan |
10.5120/606-856
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K.Radhakrishnan, A.Unnikrishnan . An AR Model Based Robust DOA Estimation. International Journal of Computer Applications. 2, 1 (May 2010), 101-104. DOI=10.5120/606-856
@article{ 10.5120/606-856,
author = { K.Radhakrishnan,A.Unnikrishnan },
title = { An AR Model Based Robust DOA Estimation },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 2 },
number = { 1 },
pages = { 101-104 },
doi = { 10.5120/606-856 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A K.Radhakrishnan
%A A.Unnikrishnan
%T An AR Model Based Robust DOA Estimation%T
%J International Journal of Computer Applications
%V 2
%N 1
%P 101-104
%R 10.5120/606-856
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper investigates the possibility estimating the direction of arrival (DOA) in a system identification perspective. The system is modeled as an autoregressive (AR) process and extended Kalman filter (EKF) is used to estimate the DOA, which forms a state of the augmented state vector of the EKF. The states generate the signals at a linearly phased array. Simulation results demonstrate the feasibility of the approach to estimate DOA to a reasonable degree of convergence especially at high SNRs.
References
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