DocumentCode :
870768
Title :
On the transfer matrix method for distributed-feedback waveguide devices
Author :
Hong, J. ; Huang, Weiping ; Makino, T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
10
Issue :
12
fYear :
1992
fDate :
12/1/1992 12:00:00 AM
Firstpage :
1860
Lastpage :
1868
Abstract :
The local normal mode transfer matrix method (TMM) is introduced and developed for the rigorous analysis of distributed feedback (DFB) waveguide devices. This approach is valid for relatively large grating depth and index difference and applicable to both TE and TM modes. Remarkably simple analytical expressions for the coupling coefficients and the power reflectivity are derived and the correspondence between the transfer matrix method and the coupled-mode theory (CMT) is established. Comparisons with the coupled-mode theory have been carried out and some salient features of the DFB structures are discussed. The natural links among the transfer matrix method, the Bloch wave approach, and the coupled-mode theory are also revealed and discussed. The analysis demonstrates unambiguously the power of the transfer matrix method and its overall advantages in terms of not only accuracy and scope of validity but also simplicity and insightfulness
Keywords :
diffraction gratings; distributed feedback lasers; integrated optics; optical waveguide theory; refractive index; semiconductor lasers; Bloch wave approach; DFB lasers; DFB structures; DFB waveguide devices; TE modes; TM modes; coupled-mode theory; coupling coefficients; distributed-feedback waveguide devices; index difference; large grating depth; laser diodes; local normal mode; passive DFB devices; power reflectivity; rigorous analysis; transfer matrix method; Gratings; Laser modes; Laser theory; Optical waveguide theory; Optical waveguides; Quantum well devices; Reflectivity; Tellurium; Transmission line matrix methods; Waveguide junctions;
fLanguage :
English
Journal_Title :
Lightwave Technology, Journal of
Publisher :
ieee
ISSN :
0733-8724
Type :
jour
DOI :
10.1109/50.202840
Filename :
202840
Link To Document :
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