DocumentCode :
3070202
Title :
Stochastic Model on the Post-Fabrication Error for a Bragg Reflectors Based Photonic Allpass Filter
Author :
Wang, Yujia ; Grieco, Andrew ; Slutsky, Boris ; Rao, Bhaskar ; Fainman, Yeshaiahu ; Nguyen, Truong
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, San Diego, San Diego, CA, USA
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents an analysis of the post fabrication performance for a Bragg-mirrors-based photonic allpass filter. The development subsequently leads to a first definition of the stochastic measures in a realistic system implementation. A Digital Signal Processing (DSP) approach to examining photonic integrated circuitry is explored in depth. The physical origins of error that manifests in an unbalanced phase error is mathematically described in detail. We describe the details of error analysis and demonstrate a stochastic measure for the expected behavior of first-order allpass filter as well as high complexity systems. Our findings show that the frequency performance under error can be characterized by a convolution of the ideal response with a probability function based kernel.
Keywords :
all-pass filters; error analysis; integrated optics; mirrors; optical computing; optical fabrication; optical filters; signal processing; stochastic processes; Bragg reflectors; Bragg-mirrors; digital signal processing approach; first-order allpass filter; photonic allpass filter; photonic integrated circuitry; post-fabrication error analysis; probability function based kernel; stochastic model; unbalanced phase error; Adaptive optics; Mirrors; Optical device fabrication; Optical signal processing; Optical waveguides; Photonics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6133623
Filename :
6133623
Link To Document :
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