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Document type:
Zeitschriftenaufsatz 
Author(s):
Kleinsteuber, M.; Seghouane, A.-K. 
Title:
On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays 
Abstract:
The Cramer-Rao bound (CRB) plays an important role in direction of arrival (DOA) estimation because it is always used as a benchmark for comparison of the different proposed estimation algorithms. In this correspondence, using well-known techniques of global analysis and differential geometry, four necessary conditions for the maximum of the log-likelihood function are derived, two of which seem to be new. The CRB is derived for the general class of sensor arrays composed of multiple arbitrary w...    »
 
Keywords:
array signal processing, differential geometry, direction-of-arrival estimation, matrix algebra, maximum likelihood estimation, sensor arraysCramer-Rao bound, DOA estimation, Fisher information matrices, deterministic CRB, differential geometry, direction of arrival estimation, log-likelihood function, maximum likelihood function, sparse sensor arrays, unknown noise fields 
Journal title:
Signal Processing, IEEE Transactions on 
Year:
2008 
Journal volume:
56 
Journal issue:
Pages contribution:
860-864 
Reviewed:
ja 
Language:
de 
Semester:
SS 02 
Format:
Text