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- Title
基于卷积神经网络的 MIMO 空分复用发射天线数目识别.
- Authors
易国顺; 谢跃雷; 梁文斌
- Abstract
The traditional multiple-input multiple-output (MIMO) space division multiplexing transmitting antenna number identification method requires that the number of receiving antennas of non-cooperative parties is greater than that of transmitting antennas, and it is difficult to find characteristics. To solve above problems, a method for identifying the number of MIMO space division multiplexing transmitting antennas based on convolutional neural network(CNN) is proposed. The target signal is received through a single antenna, the data is collected and then trained and tested by CNN. The network uses the different characteristics of the transmitting end signal after space-time coding to identify the number of transmitting antennas. Simulation and measured data verify the effect of the CNN on the number of transmitting antennas. When the measured data has a signal-to-noise ratio greater than 15 dB, the recognition rate can reach 85% .
- Subjects
TRANSMITTING antennas; CONVOLUTIONAL neural networks; PROBLEM solving; RECEIVING antennas; SPACE-time codes
- Publication
Telecommunication Engineering, 2021, Vol 61, Issue 11, p1378
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2021.11.008