DocumentCode
3035403
Title
Complementary sequences for multivariable system identification
Author
Wilson, Roland
Author_Institution
University of Aston, Birmingham, England
fYear
1980
fDate
10-12 Dec. 1980
Firstpage
693
Lastpage
694
Abstract
Efficient generation and correlation algorithms, combined with ideal aperiodic correlation properties, make complementary sequences a useful alternative to binary maximal length sequences (b.m.l.s) in multivariable system identification. Techniques for reducing the effects of errors on the response estimates are described and tested by simulation.
Keywords
MIMO;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the Symposium on Adaptive Processes, 1980 19th IEEE Conference on
Conference_Location
Albuquerque, NM, USA
Type
conf
DOI
10.1109/CDC.1980.271889
Filename
4046755
Link To Document