An online learning method of an artificial intelligence assisted OFDM receiver

A technology of artificial intelligence and learning method, applied in the field of wireless communication, can solve the problems of fixed parameters, inability to dynamically adapt to changing channels in real time, etc., to achieve the effect of improving performance and good effect

Active Publication Date: 2019-06-07
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide an online learning method for an artificial intelligence-assisted OFDM

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  • An online learning method of an artificial intelligence assisted OFDM receiver
  • An online learning method of an artificial intelligence assisted OFDM receiver
  • An online learning method of an artificial intelligence assisted OFDM receiver

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Embodiment Construction

[0034] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, the present invention proposes an online learning method that can be used for artificial intelligence-assisted OFDM receivers. Such as figure 2 Shown is a schematic diagram of the online learning system of the artificial intelligence-assisted OFDM receiver. Specifically, the software-defined radio equipment USRP-RIO is used to complete RF transceiver, up / down conversion, synchronization, adding / deleting cyclic prefix and IFFT / FFT operation, receiving The USRP-RIO at the end uses the UDP protocol to package the received signal in the frequency domain after FFT and transmits it to the multi-core server deployed with the neural network through Ethernet. The implementation of the present invention has used above-mentioned receiver structure, but is not limited to this kind of structure, and this method specifically comprises the ...

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Abstract

The invention discloses an online learning method of an artificial intelligence auxiliary OFDM receiver. The method comprises the following steps: carrying out offline training on a neural network inthe artificial intelligence auxiliary OFDM receiver; Inserting known online training bit data of the receiver into the bit data to be demodulated by the transmitter communicating with the OFDM receiver according to a fixed interval, and carrying out OFDM modulation and transmission; enabling The artificial intelligence auxiliary OFDM receiver to receive the signals and perform OFDM demodulation, and separating the signals through the two data collectors according to the same sequence as the transmitter to obtain receiving frequency domain data and frequency domain training data; Carrying out on-line training on the neural network in the artificial intelligence auxiliary OFDM receiver to obtain the neural network after the network parameters are updated on line; And inputting the frequencydomain received data into the neural network after the network parameters are updated online, outputting the estimation of the bit data to be demodulated, and performing judgment to recover the bit stream. By introducing neural network online learning, the robustness and receiving bit error rate of the receiver in different environments are improved.

Description

technical field [0001] The invention relates to an online learning method for an artificial intelligence assisted OFDM receiver, belonging to the technical field of wireless communication. Background technique [0002] In recent years, artificial intelligence has been widely used in many disciplines such as computer vision and natural language processing, and has continuously achieved breakthrough results. In the field of wireless communication, applying artificial intelligence to wireless communication receivers is one of the current hot research directions, and it is expected to break through the bottleneck of traditional wireless communication receivers. [0003] For the OFDM technology, which is one of the key technologies of 4G and 5G, there are already a variety of artificial intelligence-assisted OFDM receivers based on neural networks. However, the current artificial intelligence-assisted OFDM receiver only adopts the offline learning method, and relies on a large n...

Claims

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Application Information

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IPC IPC(8): H04L27/26G06N3/08
Inventor 姜培文徐靖陈翔宇温朝凯金石
Owner SOUTHEAST UNIV
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