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 flat band LPG filters. A flatten 3dB loss spectrum LPG with bandwidth over 100nm is designed as an example to show the effectiveness of the PSO algorithm. To improve the capability of optimization algorithm, we use the improved LPSO version proposed recently. 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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
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., Cheng, C.-C., Lo, Y.-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
Guang, B.-o., Zhang, A.-P., Tam, H.-Y., Chan, H.L.W., Choy, C.-L.: 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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, Y., Yu, Z. (2006). Optimal Designing of Multi-channel WDM Filter Using Intelligent Particle Swarm Optimization Algorithm. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_27
Download citation
DOI: https://doi.org/10.1007/11903697_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47331-2
Online ISBN: 978-3-540-47332-9
eBook Packages: Computer ScienceComputer Science (R0)