DocumentCode :
3629079
Title :
A novel approach based on data extrapolation for high resolution direction of arrival estimation
Author :
Ozgur Gultekin;Isin Erer
Author_Institution :
Elektronik ve Haberle?me M?hendisli?i B?l?m?, ?stanbul Teknik ?niversitesi, Turkey
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
In this work we propose an approach for the direction of arrival (DOA) estimation problem which increases the performance of subspace algorithms . The approach is based on the extrapolation of the data matrix using an autoregressive model. In the proposed method, the AR coefficients are calculated using least square lattice (LSL) structure. In low signal to noise levels the coefficients steming from the LSL structure enable a more efficient modeling of subspaces. Via simulations, it is shown that the estimation performance of subspace algorithms is enhanced compared to non-extrapolated data based estimation and other extrapolated data based estimation methods mentioned in the literature.
Keywords :
"Music","Direction of arrival estimation","Estimation","Arrays","Signal resolution","Data models","Array signal processing"
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
ISSN :
2165-0608
Print_ISBN :
978-1-4244-1998-2
Type :
conf
DOI :
10.1109/SIU.2008.4632619
Filename :
4632619
Link To Document :
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