Two-stage adaptive PMD compensation in a 10 Gbit/s optical communication system using particle swarm optimization algorithm

2004 ◽  
Vol 231 (1-6) ◽  
pp. 233-242 ◽  
Author(s):  
Xiaoguang Zhang ◽  
Li Yu ◽  
Yuan Zheng ◽  
Yu Shen ◽  
Guangtao Zhou ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optical Communication ◽  
Optimization Algorithm ◽  
Communication System ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Optical Communication System ◽  
Two Stage ◽  
Swarm Optimization ◽  
Pmd Compensation

scholarly journals Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm

2019 ◽  
Vol 11 (1) ◽  
pp. 542-548
Author(s):  
Wenlong Tang ◽  
Hao Cha ◽  
Min Wei ◽  
Bin Tian ◽  
Xichuang Ren
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Communication System ◽  
Particle Swarm Optimization Algorithm ◽  
Estimation Method ◽  
Particle Swarm ◽  
Automatic Identification ◽  
Identification System ◽  
Signal Power ◽  
Swarm Optimization

Abstract This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operates in the very high frequency mobile band and was developed primarily for collision avoidance. Since AIS is a one-way communication system which does not need to consider the target echo signal, it can estimate the atmospheric refractivity profile more accurately. Estimating atmospheric refractivity profiles from AIS signal power is a complex nonlinear optimization problem, the QPSO algorithm is adopted to search for the optimal solution from various refractivity parameters, and the inversion results are compared with those of the particle swarm optimization algorithm to validate the superiority of the QPSO algorithm. In order to test the anti-noise ability of the QPSO algorithm, the synthetic AIS signal power with different Gaussian noise levels is utilized to invert the surface-based duct. Simulation results indicate that the QPSO algorithm can invert the surface-based duct using AIS signal power accurately, which verify the feasibility of the new atmospheric refractivity estimation method based on the automatic identification system.

scholarly journals A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

2017 ◽  
Vol 14 (8) ◽  
pp. 694-702 ◽  
Author(s):  
Mingxuan Mao ◽  
Li Zhang ◽  
Qichang Duan ◽  
O.J.K Oghorada ◽  
Pan Duan ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Two Stage ◽  
Swarm Optimization
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