Acta Optica Sinica, Volume. 34, Issue 8, 806005(2014)
Optimal Design of Multi-Channel Fiber Bragg Grating Filters Based on Particle Swarm Optimization Algorithm
[1] [1] T Erdogan. Fiber grating spectra [J]. J Lightwave Technol, 1997, 15(8): 1277-1294.
[2] [2] M Morin, M Poulin, A Mailloux, et al.. Full C-band slope-matched dispersion compensation based on a phase sampled Bragg grating [C]. Optical Fiber Communication Conference, 2004, 1: WK1.
[3] [3] C Lee, R Lee, Y Kao. Design of multichannel DWDM fiber Bragg grating filters by Lagrange multiplier constrained optimization [J]. Opt Express, 2006, 14(23): 11002-11011.
[5] [5] K H Wen, L S Yan, W Pan, et al.. Analysis for reflection peaks of multiple-phase-shift based sampled fiber Bragg gratings and application in high channel-count filter design [J]. Appl Opt, 2009, 48(29): 5438-5444.
[6] [6] Y Dai, J Yao. Design of high-channel-count multichannel fiber bragg gratings based on a largely chirped structure [J]. IEEE J Quantum Electron, 2009, 45(8): 964-971.
[8] [8] M Ibsen, M K Durkin, M J Cole, et al.. Sinc-sampled fiber Bragg gratings for identical multiple wavelength operation [J]. IEEE Photon Technol Lett, 1998, 10(6): 842-844.
[9] [9] R Slavík, S LaRochelle. Large-band periodic filters for DWDM using multiple-superimposed fiber Bragg gratings [J]. IEEE Photon Technol Lett, 2002, 14(12): 1704-1706.
[10] [10] H Li, Y Sheng. Direct design of multichannel fiber Bragg grating with discrete layer-peeling algorithm [J]. IEEE Photon Technol Lett, 2003, 15(9): 1252-1254.
[11] [11] H Li, Y Sheng, Y Li, et al.. Phased-only sampled fiber Bragg gratings for high-channel-count chromatic dispersion compensation [J]. J Lightwave Technol, 2003, 21(9): 2074-2083.
[12] [12] Y Gong, X Liu, L Wang, et al.. Optimal design of multichannel fiber Bragg grating filters with small dispersion and low index modulation [J]. J Lightwave Technol, 2009, 27(15): 3235-3240.
[13] [13] M Li, X Chen, J Hayashi, et al.. Advanced design of the ultrahigh-channel-count fiber Bragg grating based on the double sampling method [J]. Opt Express, 2009, 17(10): 8382-8394.
[14] [14] H Cao, J Atai, X Shu, et al.. Direct design of high channel-count fiber Bragg grating filters with low index modulation [J]. Opt Express, 2012, 20(11): 12095-12110.
[15] [15] Y Chang, C H Chen. Effective algorithm for high-channel-count multichannel fiber Bragg grating designs [J]. Appl Opt, 2012, 51(25): 5952-5959.
[16] [16] C Jing, J Hao, Y Zengruan, et al.. Optimal design of high-channel-count fiber Bragg grating filters with low index modulation using an improved differential evolution algorithm [J]. IEEE Photon Journal, 2013, 5(6): 7101211.
[17] [17] J Skaar, L Wang, T Erdogan. On the synthesis of fiber Bragg gratings by layer peeling [J]. IEEE J Quantum Electron, 2001, 37(2): 165-173.
[18] [18] R Eberhart, J Kennedy. A new optimizer using particle swarm theory [C]. Proceedings of 6th International Symposium on Micro Machine and Human Science, 1995, 1: 39-43.
[19] [19] M Clerc. Discrete Particle Swarm Optimization, Illustrated by the Traveling Salesman Problem [M] // New Optimization Techniques in Engineering. Berlin: Springer, 2004. 219-239.
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Liu Tundong, Ye Zengruan, Chen Jing, Tao Jiping, Jiang Hao. Optimal Design of Multi-Channel Fiber Bragg Grating Filters Based on Particle Swarm Optimization Algorithm[J]. Acta Optica Sinica, 2014, 34(8): 806005
Category: Fiber Optics and Optical Communications
Received: Mar. 20, 2014
Accepted: --
Published Online: Jun. 30, 2014
The Author Email: Tundong Liu (ltd@xmu.edu.cn)