DocumentCode
1609914
Title
Direction finding in partly calibrated arrays composed of nonidentical subarrays: a computationally efficient algorithm for the rank reduction (RARE) estimator
Author
Pesavento, Marius ; Gershman, A.B. ; Wong, Kon Max ; Bohme, Johann E.
Author_Institution
Signal Theor. Group, Ruhr Univ., Bochum, Germany
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
536
Lastpage
539
Abstract
We consider the direction finding problem in partly calibrated arrays composed of nonidentical subarrays which are displaced by unknown vector translations. A new computationally efficient algorithm is developed for the RAnk REduction (RARE) estimator
Keywords
array signal processing; calibration; direction-of-arrival estimation; DOA estimation; RARE estimator; computationally efficient algorithm; direction finding; direction-of-arrival estimation; nonidentical subarrays; onmidirectional sensors; partly calibrated arrays; rank reduction estimator; uniform linear array; vector translations; Apertures; Calibration; Costs; Councils; Direction of arrival estimation; Hardware; Multiple signal classification; Narrowband; Polynomials; Sensor arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN
0-7803-7011-2
Type
conf
DOI
10.1109/SSP.2001.955341
Filename
955341
Link To Document