Abstract
An innovation long period grating (LPG) synthesis method based on intelligent particle swarm optimization (PSO) algorithm is demonstrated to be very effective for designing optimized LPG filters. A flatten 3dB loss spectrum LPG is designed as an example to show the effectiveness of the PSO algorithm. This 3dB LPG is a key component of multi-channel filter in optical communications and optical sensors. The results showed that the intelligent PSO algorithm is very powerful and can be used for complex optimization problem.
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References
Shu, X., Zhang, L., Bennion, I.: Sensitivity characteristics of long period fiber gratings. IEEE J. Lightwave Technology 20(2), 255–266
Yang, K.W., Liu, A.G., Chih-Chun, C., Yu-Lung, L.: Topology and shape optimizations of substrates for chirp fiber bragg grating spectrum tuning. IEEE J. Lightwave Technology 20(7), 1182–1186 (2002)
Vengsarkar, A.M., Lemaire, P.J., Judkins, J.B., Bhatia, V., Erdogan, T., Sipe, J.E.: Long period fiber gratings as band-rejection filters. IEEE J. Lithrwave Technology 14(1), 58–64 (1996)
Zhao, D., Shu, X., Lai, Y., Bennion, I.: Fiber Bragg grating sensor interrogation using chirped fiber grating-based sagnac loop. IEEE J. Sensors 3(6), 734–738
Bai-ou, G., A-Ping, Z., Hwa-Yaw, T., Chan, H.L.W., Chung-Loong, C.: Step changed long-period fiber gratings. IEEE Photonics Technology Lett. 14(5), 657–659 (2002)
Wang, L., Erdogan, T.: Layer peeling algorithm for reconstruction of long- period fiber gratings. IEEE Electronics Lett. 37(3), 154–156 (2001)
Skaar, J., Wang, L., Erdogan, T.: On the synthesis of fiber Bragg gratings by layer peeling. IEEE Lightwave Technology 37(2), 165–173 (2001)
Lee, C.L., Lai, Y.: Evolutionary programming synthesis of optimal long period fiber grating filters for EDFA gain flattening. IEEE photonics Technology Lett. 14(11), 1557–1559 (2003)
Skaar, J., Risvik, K.M.: A genetic algorithm for the Inverse problem in synthesis of fiber gratings. IEEE J. Lightwave Technology 16(10), 1928–1932 (1998)
Coello, C.A., Pulido, G.T., Lechuga, M.S.: Handing Multiple objectives with particle swarm optimization. IEEE Transcations on Evolutionary computations 8(3), 256–279 (2004)
Liu, Y., Yu, Z., Yang, H., Zhang, N., Feng, Q., Zhang, X.: Numerical optimization and simulation to wavelength-division multiplexing isolation filter consisted of two identical long period fiber grating. Optics Communications 246, 367–372 (2005)
Mendes, R., Kennedy, J., Neves, J.: The Fully informed particle swarm: simpler, maybe better. IEEE Transactions On Evolutionary computation 8(3), 204–210 (2004)
Liu, Y., Yu, Z., Zhang, J., Yang, B., Zhang, X.: Optimization design of flat-band long-period grating. Chinese Optics Letters 2(3), 200–202 (2004)
Das, M., Thyagarajan, K.: Wavelength -division multiplexing isolation filter using concatenated chirped long period gratings. J. Optics Communications 197, 67–71 (2001)
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Liu, Y., Yu, Z. (2006). Intelligent Particle Swarm Optimization Algorithm and Its Application in Optimal Designing of LPG Devices for Optical Communications Fields. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_21
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DOI: https://doi.org/10.1007/11881223_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
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