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- Title
一种适用多种空时编码方案的 MIMO 自编码器通信系统.
- Authors
夏 杉; 王旭东; 吴 楠; 许志远
- Abstract
In order to improve the adaptive capacity of existing end-to-end communication systems and the accuracy of channel estimation methods, a multiple-input multiple-output (MIMO) autoencoder (AE) communication system suitable for multiple space-time coding schemes is proposed. This AE-MIMO system introduces the autoencoder based on the convolutional neural network into the MIMO system, and combines the channel estimation network to achieve channel equalization. This system implements signal mapping and transmission under various space-time coding schemes through end-to-end learning to obtain the best receiving performance. Simulation experiments show that the proposed system has good adaptability and generalization ability under different channel environments, modulation methods and space-time coding schemes. Moreover, under the vertical space-time layered coding scheme, the proposed system can match the maximum likehood detection performance in the case of low signal-to-noise ratio(SNR),and obtain better signal detection performance than traditional nonlinear methods in the case of high SNR. Compared with the traditional method, the proposed channel estimation method obtains a performance improvement of about 5. 5 dB under long term evolution extended typical urban model.
- Subjects
CHANNEL estimation; TELECOMMUNICATION systems; CONVOLUTIONAL neural networks; MIMO systems; SIGNAL detection; SIGNAL-to-noise ratio; SPACE-time codes; GENERALIZATION
- Publication
Telecommunication Engineering, 2022, Vol 62, Issue 1, p81
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2022.01.012