NDLI: Adaptive Binary Signature Design for Code Division Multiplexing

Content Provider	IEEE Xplore Digital Library
Author	Lili Wei Batalama, S.N. Pados, D.A. Suter, B.
Copyright Year	2006
Description	Author affiliation: Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY 14260. E-mail: pados@eng.buffalo.edu (Pados, D.A.) \|\| Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY 14260. E-mail: batalama@eng.buffalo.edu (Batalama, S.N.) \|\| Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY 14260. E-mail: liliwei@eng.buffalo.edu (Lili Wei) \|\| Air Force Research Laboratory, 525 Brooks Road, Rome, NY 13441 (Suter, B.)
Abstract	When data symbols modulate a signature waveform /pattern to move across a channel in the presence of disturbance, the signature/spreading-code that maximizes the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum-SINR filter is the smallest-eigenvalue eigenvector of the disturbance autocovariance matrix. In digital communication systems, however, the signature alphabet is finite and digital signature optimization is NP-hard. In this paper, we will present a formal search procedure of cost linear in the signature code length that returns the maximum-SINR binary signature near cords of least SINR decrease in the Euclidean vector space. The quality of the proposed adaptive binary design will be compared against the theoretical upper bound of the complex/real eigenvector maximizer.
Starting Page	1
Ending Page	6
File Size	6142765
Page Count	6
File Format	PDF
ISBN	142440617X
DOI	10.1109/MILCOM.2006.302417
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Code division multiplexing Signal to noise ratio Upper bound Design optimization Signal design Adaptive filters Digital signatures Costs Vectors MIMO
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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