Channel estimation method based on neural network prediction

A neural network and channel estimation technology, applied in the field of channel estimation based on neural network prediction, can solve problems such as destroying orthogonality, affecting communication quality, and inter-carrier interference.

Inactive Publication Date: 2019-10-22
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

For an Orthogonal Frequency Division Multiplexing (OFDM) system, a small frequency offset will destroy the frequency orthogonality between the subcarriers of the OFDM system, thereby causing inter-carrier interference (ICI), which will seriously affect the quality of communication.

Method used

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  • Channel estimation method based on neural network prediction
  • Channel estimation method based on neural network prediction
  • Channel estimation method based on neural network prediction

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Embodiment Construction

[0039] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0040] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than Nothing indicating or implying that a referenced device or elem...

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Abstract

The invention provides a channel estimation method based on neural network prediction. The method comprises: firstly, constructing a neural network based on a channel estimation method of neural network prediction to approach an ideal channel state, and using a large amount of orthogonal frequency division multiplexing (OFDM) channel data for training the neural network; secondly, predicting channel states of other limited data positions through a neural network according to the received pilot signals; and finally, estimating the channel frequency domain response of the residual data positionby utilizing low-order spline interpolation. According to the invention, a backward propagation (BP) neural network is utilized, and the problem of channel estimation under an OFDM channel is solved.Due to the fact that the neural network has the self-adaptive self-learning capacity, the channel estimation precision of the system can be improved.

Description

Technical field: [0001] The invention relates to the field of wireless communication, in particular to a channel estimation method based on neural network prediction. Background technique: [0002] When the receiving user is in high-speed motion, the frequency of the received signal changes, resulting in propagation frequency dispersion, which becomes the Doppler effect, and the additional frequency shift caused by this is called Doppler frequency shift. And the degree of spread of the Doppler frequency shift is proportional to the user's motion speed. When the mobile station moves towards the base station, the frequency becomes higher; as the mobile station moves away from the base station, the frequency becomes lower. For an Orthogonal Frequency Division Multiplexing (OFDM) system, a small frequency offset will destroy the frequency orthogonality between each subcarrier of the OFDM system, thereby causing Inter-Carrier Interference (ICI), which will seriously affect the q...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02G06N3/063G06N3/08
CPCG06N3/063G06N3/084H04L25/0224H04L25/0254
Inventor 廖勇黄周洋张寅森龙洋孙国栋
Owner CHONGQING UNIV
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