DocumentCode :
449611
Title :
Power spectrum estimation with low rank beamforming
Author :
Santos, Ernesto ; Zoltowski, Michael
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
Volume :
4
fYear :
2005
fDate :
2-2 Dec. 2005
Lastpage :
2188
Abstract :
When the size of the training samples is limited the performance of the full rank minimum variance distortionless response (MVDR) beamformer is deteriorated; and a low rank solution of the MVDR problem can yield a better performance. A new adaptive approach, indirect dominant mode rejection (IDMR), was introduced in previous work to solve the MVDR optimization problem. In the previous work the IDMR beamformer was used to extract the desired signal, while in this work we use the IDMR beamformer to estimate the power spectrum. We also introduce several modifications, which bring more robustness to the basic IDMR. These include root-music, forward/backward averaging of the sample covariance matrix and power window
Keywords :
array signal processing; covariance matrices; spectral analysis; full rank minimum variance distortionless response beamformer; indirect dominant mode rejection; low rank beamforming; power spectrum estimation; power window; root-music; sample covariance matrix; Array signal processing; Covariance matrix; Direction of arrival estimation; Equations; Multiple signal classification; Performance analysis; Power engineering and energy; Power engineering computing; Signal to noise ratio; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-7803-9414-3
Type :
conf
DOI :
10.1109/GLOCOM.2005.1578051
Filename :
1578051
Link To Document :
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