DocumentCode
1208101
Title
Optical intensity-modulated direct detection channels: signal space and lattice codes
Author
Hranilovic, Steve ; Kschischang, Frank R.
Author_Institution
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Canada
Volume
49
Issue
6
fYear
2003
fDate
6/1/2003 12:00:00 AM
Firstpage
1385
Lastpage
1399
Abstract
Traditional approaches to constructing constellations for electrical channels cannot be applied directly to the optical intensity channel. This work presents a structured signal space model for optical intensity channels where the nonnegativity and average amplitude constraints are represented geometrically. Lattice codes satisfying channel constraints are defined and coding and shaping gain relative to a baseline are computed. An effective signal space dimension is defined to represent the precise impact of coding and shaping on bandwidth. Average optical power minimizing shaping regions are derived in some special cases. Example lattice codes are constructed and their performance on an idealized point-to-point wireless optical link is computed. Bandwidth-efficient schemes are shown to have promise for high data-rate applications, but require greater average optical power.
Keywords
codes; intensity modulation; optical links; optical modulation; optical signal detection; pulse amplitude modulation; quadrature amplitude modulation; telecommunication channels; PAM; PPM; QAM; average amplitude constraints; average optical power; bandwidth; channel constraints; coding gain; electrical channels; high data-rate applications; lattice codes; modem design; optical intensity-modulated direct detection channels; point-to-point wireless optical link; raised-quadrature amplitude modulation; shaping gain; signal space dimension; structured signal space model; Bandwidth; Biomedical optical imaging; Lattices; Optical detectors; Optical distortion; Optical fiber communication; Optical modulation; Optical transmitters; Pulse modulation; Signal detection;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2003.811928
Filename
1201063
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