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Titel:

On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kleinsteuber, M.; Seghouane, A.-K.
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...     »
Stichworte:
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
Zeitschriftentitel:
Signal Processing, IEEE Transactions on
Jahr:
2008
Band / Volume:
56
Heft / Issue:
2
Seitenangaben Beitrag:
860-864
Reviewed:
ja
Sprache:
de
Volltext / DOI:
doi:10.1109/TSP.2007.907832
Semester:
SS 02
Format:
Text
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