DocumentCode
1522913
Title
Application of quantization theory to data detection in the presence of nuisance parameters
Author
Nassar, Carl R. ; Soleymani, M. Reza
Author_Institution
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
Volume
47
Issue
6
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
804
Lastpage
808
Abstract
This work introduces an iterative design algorithm for establishing the discrete nuisance parameter space (e.g., discrete phase offset space) for application in data detection. Data detection is shown to be surprisingly robust to course nuisance parameter quantizations. A parallel receiver structure based on the discretization is introduced and its significant performance gains are summarized
Keywords
interference (signal); iterative methods; quantisation (signal); receivers; data detection; discrete phase offset space; nuisance parameters; parallel receiver structure; performance; quantization theory; Additive noise; Algorithm design and analysis; Frequency; Intersymbol interference; Iterative algorithms; Noise robustness; Parameter estimation; Performance gain; Phase detection; Quantization;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.771332
Filename
771332
Link To Document