Optimal Designing of Multi-channel WDM Filter Using Intelligent Particle Swarm Optimization Algorithm

  • Yumin Liu
  • Zhongyuan Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4247)


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.


Particle Swarm Optimization Fiber Bragg Grating Particle Swarm Optimization Algorithm Index Modulation Inertia Weight 


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  1. 1.
    Shu, X., Zhang, L., Bennion, I.: Sensitivity characteristics of long period fiber gratings. IEEE J. Lightwave Technology 20(2), 255–266Google Scholar
  2. 2.
    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)CrossRefGoogle Scholar
  3. 3.
    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)CrossRefGoogle Scholar
  4. 4.
    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), 734–738Google Scholar
  5. 5.
    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)CrossRefGoogle Scholar
  6. 6.
    Wang, L., Erdogan, T.: Layer peeling algorithm for reconstruction of long- period fiber gratings. IEEE Electronics Lett. 37(3), 154–156 (2001)CrossRefGoogle Scholar
  7. 7.
    Skaar, J., Wang, L., Erdogan, T.: On the synthesis of fiber Bragg gratings by layer peeling. IEEE Lightwave Technology 37(2), 165–173 (2001)Google Scholar
  8. 8.
    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)CrossRefGoogle Scholar
  9. 9.
    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)CrossRefGoogle Scholar
  10. 10.
    Mendes, R., Kennedy, J., Neves, J.: The Fully informed particle swarm: simpler, maybe better. IEEE Transactions On Evolutionary computation 8(3), 204–210 (2004)CrossRefGoogle Scholar
  11. 11.
    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)Google Scholar
  12. 12.
    Das, M., Thyagarajan, K.: Wavelength -division multiplexing isolation filter using concatenated chirped long period gratings. J. Optics Communications 197, 67–71 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yumin Liu
    • 1
    • 2
  • Zhongyuan Yu
    • 1
    • 2
  1. 1.School of ScienceBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Key Laboratory of Optical Communication and Lightwave Technologies, Ministry of EducationBeijingChina

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