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A method and system for real-time prediction of intelligent shortwave frequency across frequency bands

A real-time prediction and frequency technology, applied in wireless communication, electrical components, etc., can solve the problems of unrepresentative data, inability to use frequency band data to predict across frequency bands, training data reliability is not strong, etc., to reduce the complexity of training degree of effect

Active Publication Date: 2022-06-21
武汉船舶通信研究所
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Problems solved by technology

However, the existing methods often need to obtain the communication data of the whole frequency band in actual use, and cannot make cross-band prediction based on the data of the used frequency band, and the practicability is not strong
At the same time, affected by the changeable short-wave channel, the communication data of the same frequency band obtained by the experiment will also change drastically in a short period of time. The data obtained by a single sampling is not representative, and the reliability of the training data is not strong.

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  • A method and system for real-time prediction of intelligent shortwave frequency across frequency bands

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[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0048] figure 1 This is an application scenario diagram of an intelligent short-wave frequency cross-band real-time prediction method provided by an embodiment of the present invention. For the commonly used neural network prediction method, in order to predict the communication quality of a certain frequency point, it is necessary to perform regression prediction based on the historical data of th...

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Abstract

The invention discloses a method and system for real-time prediction of intelligent shortwave frequency across frequency bands. The method comprises the steps of: using historical sampling data to train a prediction model based on a neural network, and the prediction model is used to predict the communication quality of other frequencies according to the frequency characteristic information of a certain frequency; The range of the next available frequency; Obtain the frequency characteristic information at the short-wave communication interruption moment; Input the frequency characteristic information at the short-wave communication interruption moment into the prediction model to obtain the communication quality of each frequency in the range; Select the communication within the range The frequency with the best quality is selected as the next available frequency after shortwave communication is interrupted. The present invention takes other frequency points with high reliability of link establishment near the communication interruption frequency point as the prediction target, which can reduce the training complexity of the neural network when faced with a large amount of nonlinear data, and the prediction target is more suitable for the actual working equipment Operational needs.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and more particularly, relates to an intelligent short-wave frequency cross-frequency real-time prediction method and system. Background technique [0002] In actual short-wave communication, due to the instability of the short-wave channel itself, the communication link is often interrupted suddenly, and the selection of the next frequency with good communication effect largely depends on experience, and both real-time and reliability are required. To ensure that, in the face of sudden short-wave communication interruption, the processing method is limited. [0003] The frequency prediction method based on neural network can make real-time prediction of short-wave frequency by the nonlinear approximation ability of neural network. However, in actual use, the existing methods often need to acquire communication data of all frequency bands, and cannot perform cross-frequency band p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/08H04W24/10
CPCH04W24/10H04W24/08
Inventor 王浩王书诚叶荣军陈祖刚谢俊刘剑沈欢郑洁黄亮雷霓方书雅
Owner 武汉船舶通信研究所
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