Adaptive binary signature design for code division multiplexing

Authors:
Lili Wei;Stella N. Batalama;Dimitris A. Pados;Bruce Suter
Affiliations:
Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY;Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY;Department of Electrical Engineering, State University of New York at Buffalo, Buffalo, NY;Air Force Research Laboratory, Rome, NY
Venue:
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Year:
2006

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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 chords 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.