Integrating independent component analysis with Hopfield recurrent neural network to estimate the channel of MIMO-OFDM system

doi:10.1145/3271553.3271593

CORC > 兰州理工大学 > 兰州理工大学

	Integrating independent component analysis with Hopfield recurrent neural network to estimate the channel of MIMO-OFDM system
	Jie, Hao
	2018-08-27
会议日期	August 27, 2018 - August 29, 2018
会议地点	Las Vegas, NV, United states
关键词	Gain control Image processing Independent component analysis MIMO systems Orthogonal frequency division multiplexing Recurrent neural networks Signal to noise ratio Channel information Hopfield recurrent neural networks Improved HRNN Independent component analysis(ICA) MIMO-OFDM systems Multipath communications Nonlinear characteristics Semi-blind estimations
DOI	10.1145/3271553.3271593
英文摘要	Channel estimation is very important for MIMO-OFDM system, and because of the complexity of the electromagnetism circumstance in multipath communication environment and the sensitivity of OFDM modulation mode, which brings great difficulty for the channel estimation. In order to solve the difficulty of channel estimation problem in MIMO-OFDM system, this paper propose a semi-blind estimation method based on independent component analysis (ICA) algorithm combined with improved Hopfield recurrent neural network (HRNN) as a hybrid approach named ICA-HRNN. Then use the ICA-HRNN algorithm to estimate the channel information of MIMO-OFDM system. The simulation results show that, the ICA-HRNN algorithm can better adapt to the nonlinear characteristics of MIMO-OFDM system, and increase the estimation accuracy and the estimation speed, especially when the system has low SNR. © 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/118000]
专题	兰州理工大学
作者单位	Northwest Minzu University, School of Electrical Engineering, China. Lanzhou University of Technology, School of Computer and Communication, Lanzhou, China
推荐引用方式 GB/T 7714	Jie, Hao. Integrating independent component analysis with Hopfield recurrent neural network to estimate the channel of MIMO-OFDM system[C]. 见:. Las Vegas, NV, United states. August 27, 2018 - August 29, 2018.