Semi-blind channel estimation of MIMO-OFDM systems based on improved PSO-hopfield neural network | |
Jie, Hao1,2 | |
2018-03-24 | |
会议日期 | March 24, 2018 - March 25, 2018 |
会议地点 | Phuket, Thailand |
关键词 | Blind equalization Cost functions Gain control Heuristic algorithms Hopfield neural networks Intelligent systems Iterative methods MIMO systems Orthogonal frequency division multiplexing Particle swarm optimization (PSO) Swarm intelligence Channel response Estimation methods Hopfield Networks Improved PSO Improved pso algorithms MIMO-OFDM systems Semi-blind Semi-blind channel estimation |
DOI | 10.1145/3206185.3219779 |
页码 | 153-157 |
英文摘要 | Channel estimation is the key part of the design of any receiver, this paper proposed a semi-blind channel estimation method of MIMO-OFDM systems based on improved Hopfield neural network. First, the proposed method improved the semi-blind cost function for neural network based on LS criterion and LMMSE criterion. Then, this paper proposed a new structure of Hopfield network to substitute the function iteration, and the improved PSO algorithm was also used to optimize the parameter of Hopfield network. Finally, The new estimation method was proposed to estimate the channel response. The comparison of channel estimation by the proposed method and RBF network were present, the results validated that the proposed method is feasible to estimate the channel response, and that the precision of estimation is improved, which will be useful for the future channel estimation of MIMO-OFDM systems. © 2018 Association for Computing Machinery. |
会议录 | ACM International Conference Proceeding Series |
会议录出版者 | Association for Computing Machinery |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/118085] |
专题 | 兰州理工大学 |
作者单位 | 1.Lanzhou University of Technology, School of Computer and Communication, Lanzhou, China 2.Northwest Minzu University, School of Electrical Engineering, Lanzhou, China; |
推荐引用方式 GB/T 7714 | Jie, Hao. Semi-blind channel estimation of MIMO-OFDM systems based on improved PSO-hopfield neural network[C]. 见:. Phuket, Thailand. March 24, 2018 - March 25, 2018. |
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