Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Cognitive radio frequency spectrum perception method based on compressed sensing and BP (back-propagation) neural network

A BP neural network and cognitive radio technology, applied in biological neural network models, network planning, wireless communication, etc., can solve problems such as high computational complexity, poor real-time online detection, etc., to avoid over-training and reduce the impact of noise , the effect of reducing data complexity

Inactive Publication Date: 2012-09-12
NANJING UNIV OF POSTS & TELECOMM
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention lies in the disadvantages of high computational complexity and poor real-time performance of online detection in the prior art. It provides a cognitive radio spectrum sensing method and system based on compressed sensing and BP neural network, which combines compressed sensing technology It is applied to the spectrum detection of cognitive radio, and replaces the complex reconstruction algorithm with BP (Back-Propagation) neural network, and transfers the computational complexity from online detection to offline network training, thus greatly improving the real-time performance of online detection of the detection system

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
  • Cognitive radio frequency spectrum perception method based on compressed sensing and BP (back-propagation) neural network
  • Cognitive radio frequency spectrum perception method based on compressed sensing and BP (back-propagation) neural network
  • Cognitive radio frequency spectrum perception method based on compressed sensing and BP (back-propagation) neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0037] figure 1 Shows the cognitive radio scenario in a typical frequency division multiple access system (such as GSM, broadcast TV system, OFDM, etc.), where the primary user occupies a fixed spectrum bandwidth, and the secondary user shares the spectrum with the primary user . Let the number of active primary users be , the main user The bandwidth sent by the radio frequency device is , the center spectrum is modulation signal , . Since the bandwidth occupied by the primary user spectrum is fixed, the signal has the characteristic of block sparseness. Spectrum sensing technology requires real-time perception of the spectrum occupancy of the channel without lossless reconstruction of the signal. According to this detection goal, the theoretical framework of compressed sampling can be introduced. Compressed sensing simply collects a part...

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 cognitive radio frequency spectrum perception method based on compressed sensing and a BP (back-propagation) neural network. The method of the invention comprises a training process and an actual detection process. The training process comprises: carrying out compression sampling whose rate is lower than a Nyquist sampling rate on an original signal of cognitive radio; carrying out 1-bit quantification processing on sampling data; taking the compression sampling data after the quantification processing as training input, taking an actual frequency band occupancy situation as training output, and training a BP neural network detector. The actual detection process comprises: carrying out the compression sampling on the original signal of the cognitive radio and carrying out the 1-bit quantification processing on the sampling data; inputting the compression sampling data after the quantification processing into the trained BP neural network detector so as to obtain the output, wherein the output is the frequency spectrum occupancy situation of the cognitive radio. The invention also discloses a cognitive radio frequency spectrum perception system which uses the above method. By using the method of the invention, algorithm complexity is low and real-time performance of the frequency spectrum detection can be greatly increased.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a cognitive radio spectrum sensing method and system. Background technique [0002] With the extensive development of wireless communication services, spectrum resources are increasingly scarce. The main reason is that the wireless spectrum access technology is unreasonable—existing wireless communication systems all use low-efficiency fixed channel allocation strategies. Cognitive radio is considered to be one of the most effective new technologies to solve this problem. It allows cognitive users to share the frequency band without affecting the normal communication of legitimate users in the frequency band. [0003] Spectrum sensing technology is an important basic link in the design of cognitive wireless networks. Only by knowing the spectrum usage of primary users in real time and quickly can the secondary use of wireless spectrum be realized and th...

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): H04W16/14G06N3/02
Inventor 朱琦赵夙王璐瑜
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products