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Optimization of pilot pattern in ACO-OFDM systems channel estimation based on compressed sensing
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Paper Abstract

The application of asymmetrically clipped optical-orthogonal frequency division multiplexing (ACO-OFDM) in free-space optical (FSO) communication system can increase the system channel capacity, while the use of channel estimation technology can ensure that ACO-OFDM has better performance. Since the channel estimation performance is directly affected by the selection of pilot patterns, especially when using compressed sensing (CS), it has been a major task in OFDM transmission schemes. In order to improve the channel reconstruction accuracy, a hybrid optimization algorithm based on genetic algorithm (GA) and particle swarm optimization (PSO) algorithm is proposed for two types of pilot design criterion. Simulation results show that compared with other three algorithms, the proposed algorithm has faster convergence speed and lower convergence value. With the pilots designed by the proposed algorithm, the system can achieve higher channel reconstruction accuracy.

Paper Details

Date Published: 14 February 2019
PDF: 13 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110481B (14 February 2019); doi: 10.1117/12.2520727
Show Author Affiliations
Qingsong Zhao, National Univ. of Defense Technology (China)
Shiqi Hao, National Univ. of Defense Technology (China)
Yong Wang, National Univ. of Defense Technology (China)
Jingnan Wang, National Univ. of Defense Technology (China)
Xiongfeng Wan, National Univ. of Defense Technology (China)
Chenlu Xu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)

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