Optimal Designing of Multi-channel WDM Filter Using Intelligent Particle Swarm Optimization Algorithm
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.
KeywordsParticle Swarm Optimization Fiber Bragg Grating Particle Swarm Optimization Algorithm Index Modulation Inertia Weight
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- 1.Shu, X., Zhang, L., Bennion, I.: Sensitivity characteristics of long period fiber gratings. IEEE J. Lightwave Technology 20(2), 255–266Google Scholar
- 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
- 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
- 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