Check patentability & draft patents in minutes with Patsnap Eureka AI!

Frequency spectrum prediction method and device based on composite 2D-LSTM network, medium and equipment

A spectrum prediction and network technology, applied in the communication field, can solve the problems of not fully considering the frequency domain correlation and time cycle trend of spectrum data, and achieve the effect of accurate prediction

Pending Publication Date: 2022-03-01
NAT UNIV OF DEFENSE TECH
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing research does not fully consider the frequency-domain correlation and time-period trend of spectrum data, and the performance of spectrum prediction may be improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Frequency spectrum prediction method and device based on composite 2D-LSTM network, medium and equipment
  • Frequency spectrum prediction method and device based on composite 2D-LSTM network, medium and equipment
  • Frequency spectrum prediction method and device based on composite 2D-LSTM network, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described below in conjunction with embodiment and accompanying drawing. It should be noted that the terms "first", "second" and so on are only for the purpose of description, and should not be interpreted as limitations on quantity, property and the like. figure 1 Shows the flow chart of the spectrum prediction method based on the composite 2D-LSTM network in the embodiment of the present invention, combined with figure 1 , the method provided by the present invention includes steps S100-S400.

[0034] Step S100: Receive spectrum data. In an embodiment of the present invention, the spectrum data has frequency domain correlation, aggregation trend and periodic trend.

[0035] The reason why the spectral state can be predicted by historical data is precisely because the spectral state is correlated in the time domain. Divide the two-dimensional spectrum data according to time slots, and then get T continuous time series at a certa...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a frequency spectrum prediction method and device based on a composite 2D-LSTM network, a medium and equipment, and belongs to the technical field of communication. The method includes receiving spectrum data; mining an approaching trend in the spectrum data by using a first 2D-LSTM model to obtain a first time sequence feature; mining a period trend in the spectrum data by using a second 2D-LSTM model to obtain a second time sequence feature; and fusing and activating the first time sequence feature and the second time sequence feature, and outputting a prediction result. The device, the medium and the equipment are all realized based on the provided method. According to the method, the accuracy of spectrum prediction is effectively improved by mining the approaching trend and the periodic trend of the historical spectrum data.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a spectrum prediction method, device, medium and equipment based on a composite 2D-LSTM network. Background technique [0002] Cognitive radio technology provides an effective means to alleviate the problem that spectrum resources are difficult to fully utilize. Through spectrum prediction and spectrum sensing functions, cognitive radio technology supports secondary users to predict the future spectrum occupancy of channels in advance, quickly sense and identify spectrum occupancy status in a wide frequency range, and opportunistically access unused spectrum holes of primary users, thereby To achieve the purpose of making full use of spectrum resources. [0003] Commonly used spectrum prediction models include traditional statistical models such as autoregressive integrated moving average (ARIMA) model, support vector machine (SVM) model, hidden Markov model (H...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04B17/382H04B17/391G06N3/04G06N3/08
CPCH04B17/382H04B17/3913G06N3/084G06N3/048G06N3/044Y02D30/70
Inventor 张建照孔青柳永祥
Owner NAT UNIV OF DEFENSE TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com