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

Non-Gaussian noise suppression method based on energy detection

A non-Gaussian noise and energy detection technology, applied in transmission noise suppression, transmission monitoring, electrical components, etc., to suppress noise and improve spectrum sensing performance

Active Publication Date: 2017-03-22
CARBON (SHENZHEN) MEDICAL DEVICE CO LTD
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The cyclic spectrum extends the frequency from a one-dimensional plane to a two-dimensional plane, and its computational complexity is far greater than that of energy detection, which is the biggest limitation of the application of periodic characteristic 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
  • Non-Gaussian noise suppression method based on energy detection
  • Non-Gaussian noise suppression method based on energy detection
  • Non-Gaussian noise suppression method based on energy detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] The invention is a non-Gaussian noise suppression method based on energy detection, which can adaptively select the best matching non-Gaussian noise model according to different non-Gaussian noise backgrounds, and achieve the purpose of suppressing non-Gaussian noise through cancellation processing. The key lies in the fitting of non-Gaussian noise distribution curve and the selection of non-Gaussian noise model. The flow chart of the algorithm is as follows figure 1 shown. The main steps are as follows: Establish a non-Gaussian noise model library. This paper chooses two typical non-Gaussian noise models (mixed Gaussian distribution model, generalized Gaussian distribution model). Then analyze the amplitude characteristics of the signal data received by USRP (Universal Software Radio Peripheral, Universal Software Radio Peri...

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 non-Gaussian noise suppression method based on energy detection. The non-Gaussian noise suppression method comprises the following steps: (1) establishing a non-Gaussian noise model library; (2) receiving signal data by employing USRP (Universal Software Radio Peripheral), carrying out analysis on amplitude characteristics of the signal data received by the USRP based on an energy detection method, and making a statistics on parameter characteristics of each model in the model library, thereby obtaining a probability density curve distributed by each model; (3) then comparing the obtained probability density curves of the models with graphs in the noise model library, and selecting the noise model with the minimum phase difference and the best matching effect as a background noise; and (4) at last carrying out offset processing on the data containing a primary user signal and on the signal data of the background noise, namely making a subtraction between two signal amplitude values at a same frequency, thereby reducing the amplitude value of a noise signal and improving a signal-to-noise ratio. According to the non-Gaussian noise suppression method disclosed by the invention, the spectrum sensing property can be effectively improved; and the method has an application value in fields such as military communication, information processing and the like.

Description

technical field [0001] The invention relates to the technical field of noise suppression, in particular to a non-Gaussian noise suppression method based on energy detection. Background technique [0002] Noise suppression techniques in communication systems are well known. The purpose of a noise suppression system is to reduce the amount of background noise in speech encoding, thereby improving the overall performance of the user's encoded speech signal. [0003] Due to the shortage of spectrum resources, the ability to use spectrum resources more efficiently has become another key issue in the field of communication research. One of the key technologies to improve the utilization of spectrum resources is cognitive radio technology, which realizes spectrum resources through effective spectrum sensing. Dynamic sharing and reasonable and effective utilization. [0004] Spectrum sensing technology is the basis for realizing dynamic spectrum sharing. At present, research on sp...

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): H04B15/00H04B17/382
CPCH04B15/005H04B17/382
Inventor 朱晓梅赵磊王天荆李义丰
Owner CARBON (SHENZHEN) MEDICAL DEVICE CO LTD
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