Title
Data-adaptive array interpolation for DOA estimation in correlated signal environments
Abstract
Many popular direction-of-arrival (DOA) estimators rely on the fact that the array response vector of the array is Vandermonde, for example, that of a uniform linear array (ULA). Array interpolation is a preprocessing technique to transform the array response vector of a planar array of arbitrary geometry to that of a ULA over an angular sector. While good approximation within the target sector is attained with the various existing array interpolation approaches, the response of the interpolated array in the out-of-sector region is at best partially controlled. Accordingly, out-of-sector signals, especially those highly correlated with the in-sector signals, can degrade significantly the performance of DOA estimators that rely on the Vandermonde form to work correctly. Recently, we proposed an improved array interpolation approach that takes into account the array response over the full azimuth. In this paper, we develop the idea further and present a simple data-adaptive array interpolation scheme that can provide significantly better accuracy in the DOA estimates. We present examples to demonstrate the effectiveness of our proposal.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1416166
ICASSP '05). IEEE International Conference
Keywords
Field
DocType
array signal processing,correlation methods,direction-of-arrival estimation,interpolation,linear antenna arrays,DOA estimation,ULA,Vandermonde response vector,array response vector,correlated signal environments,data-adaptive array interpolation,direction-of-arrival estimators,uniform linear array
Mathematical optimization,Planar array,Pattern recognition,Computer science,Interpolation,Sensor array,Azimuth,Preprocessor,Vandermonde matrix,Artificial intelligence,Estimator
Conference
Volume
ISSN
ISBN
4
1520-6149
0-7803-8874-7
Citations 
PageRank 
References 
7
0.57
8
Authors
3
Name
Order
Citations
PageRank
buon kiong lau1171785.85
Mats Viberg21043126.67
Yee Hong Leung3267.39