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

A Compressed Spectrum Sensing Method Based on Observation Matrix Optimization

A technology of compressing spectrum sensing and observation matrix, which is applied in the field of computer communication, can solve the problems that are difficult to realize from the perspective of technical cost and difficult to complete real-time broadband detection

Inactive Publication Date: 2015-09-30
NANJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In real-time spectrum detection, it is necessary to directly detect broadband signals. The bottleneck is the sampling rate and resolution of the high-speed analog-to-digital conversion device (ADC). According to the sampling principle, the sampling rate of the ADC is at least twice the highest frequency of the input signal. Due to the existence of ultra-wide frequency bands up to several GHz in cognitive radio, such a high-speed ADC is difficult to achieve in terms of technology and cost. If traditional methods are used, it is difficult to complete the task of real-time broadband detection.

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
  • A Compressed Spectrum Sensing Method Based on Observation Matrix Optimization
  • A Compressed Spectrum Sensing Method Based on Observation Matrix Optimization
  • A Compressed Spectrum Sensing Method Based on Observation Matrix Optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Such as figure 1 As shown, the cognitive radio system of the present invention includes a primary user and a secondary user, and within the entire wide frequency range, the primary user can choose a certain frequency point arbitrarily when communicating. In order to facilitate research, the present invention usually divides the entire frequency range into several sub-frequency bands, from figure 1 It can be seen that the black sub-band means occupied, and the blank space is a spectrum hole, and the way the main user occupies the sub-band appears randomly. Since the amplitudes of each sub-band are not equal, the occupied sub-bands are sparsely distributed in the whole wide frequency range, and the perceived signal is compressible in the frequency domain. exist figure 1 In , the dotted arrow represents the secondary user's perception of the primary user, and the solid line represents the communication between the secondary users.

[0033] Suppose the signal to be tested ...

Embodiment 2

[0047] Such as image 3 As shown, the present invention provides an observation matrix optimized compressed spectrum sensing method, which is used for spectrum sensing in cognitive radio systems, assuming that the total bandwidth to be detected by cognitive users is B Hz, which can be continuously and evenly divided into L non-overlapping sub-bands, and the frequency of the edge position of each sub-band is f 0 ... f L+1 , and have f i j (i* (m-n)], use F -1 Denotes the inverse Fourier transform, W -1 Represents the wavelet inverse transform matrix, and Z is the amplitude difference at the edge position of the spectrum.

[0048] Method flow:

[0049] Step 1: Generate dimension M 0 ×N random matrix Φ 0 , the matrix and the inverse Fourier transform matrix F -1 And the wavelet inverse transform matrix W -1 Multiplied together, the compressed sensing matrix Ψ can be obtained 0 = Φ 0 f -1 W -1 , the signal to be measured is at Ψ 0 The projection on r is y =Ψ 0 Z, w...

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 compressive spectrum sensing method. The method is applied to the spectrum hole detection in a cognitive radio system, and belongs to a novel method for carrying out spectrum sensing by a compressive sensing technology. The method carries out condition setting by aiming at observing data, the detecting efficiency in the compressive spectrum sensing is improved, when acceptable conditions are met, the estimation value is reconstructed, when the acceptable conditions are not met, the observing times are increased, and the adaptive process of the matrix observation is realized. The method realizes the integral optimization through reducing the sparseness among the observing matrix array vectors, reducing the correlation among the line vectors and combining the matrix adaptivity observation in a united way. Compared with the ordinary compressive spectrum sensing, the compressive spectrum sensing method has lower mean square errors generated during the spectrum reconstruction, and the spectrum detecting efficiency is higher under the condition of the same observing times; the observing times required by the method is fewer when the same receiving operation performance.

Description

technical field [0001] The invention relates to the technical field of computer communication, in particular to a compressed spectrum sensing method optimized by an observation matrix. Background technique [0002] At present, due to the rapid development of wireless communication, the limited spectrum resources will face scarcity. Cognitive radio is a mechanism that introduces dynamic spectrum access in wireless communication, which can effectively improve spectrum utilization. Secondary users discover spectrum holes through spectrum sensing and wait for opportunities to access while avoiding interference to primary users, which can effectively solve the problem of low utilization of the currently allocated spectrum. [0003] Spectrum sensing technology is the key technology of cognitive radio. The spectrum sensing process refers to the process in which the secondary user searches for spectrum holes. The secondary user searches and analyzes the frequency band in a specif...

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
Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382H04W16/14
Inventor 王韦刚胡海峰
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com