Birefringent filter design by use of a modified genetic algorithm.
A modified genetic algorithm is proposed for the optimization of fiber birefringent filters. The orientation angles and the element lengths are determined by the genetic algorithm to minimize the sidelobe levels of the filters. Being different from the normal genetic algorithm, the algorithm proposed reduces the problem space of the birefringent filter design to achieve faster speed and better performance. The design of 4-, 8-, and 14-section birefringent filters with an improved sidelobe suppression ratio is realized. A 4-section birefringent filter designed with the algorithm is experimentally realized.
Wen
Mengtao
M
Microwave Photonics Research Laboratory, School of Information Technology and Engineering, University of Ottawa, Canada.
Yao
Jianping
J