DocumentCode :
356254
Title :
Improving DOA estimation methods using a priori knowledge about the sources location
Author :
Colares, Ricardo F. ; Lopes, Amauri
Author_Institution :
Dept. of Commun., Campinas Univ., Brazil
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
989
Abstract :
The linear prediction technique applied to a sensor array can provide useful information about the source´s location. A simple relation between the minimum-norm solution for the optimum filter and the source´s direction is derived. Direction of arrival (DOA) estimation methods can use this information to improve its resolution capability. An algorithm applied to the two closely spaced sources case is given to show the improvement achieved. In addition, a subspace-based approach to the use of a priori information about the source´s direction is presented
Keywords :
array signal processing; direction-of-arrival estimation; filtering theory; prediction theory; DOA estimation methods; direction of arrival estimation; linear prediction technique; minimum-norm solution; optimum filter; resolution capability; sensor array; source location; subspace-based approach; Direction of arrival estimation; Frequency estimation; Least squares approximation; Log periodic antennas; Nonlinear filters; Parameter estimation; Radar; Seismology; Sensor arrays; Sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
Type :
conf
DOI :
10.1109/MWSCAS.1999.867801
Filename :
867801
Link To Document :
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