An Adaptive Denoising Method for Discontinuous Communication Signals under Multiple Interference Conditions

A communication signal, discontinuous technology, used in baseband system components, shaping networks in transmitters/receivers, etc., can solve problems such as unsatisfactory filtering effects, achieve strong suppression, and eliminate fixed frequency noise.

Inactive Publication Date: 2015-08-26
PEOPLES LIBERATION ARMY ORDNANCE ENG COLLEGE
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is simple in design and easy to implement, and has a better filtering effect on interference signals with strong autocorrelation, but for random interference signals with poor autocorrelation, especially white noise, due to the interaction between delayed white noise and undelayed white noise, Irrelevant, so the filtering effect is not ideal

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
  • An Adaptive Denoising Method for Discontinuous Communication Signals under Multiple Interference Conditions
  • An Adaptive Denoising Method for Discontinuous Communication Signals under Multiple Interference Conditions
  • An Adaptive Denoising Method for Discontinuous Communication Signals under Multiple Interference Conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] figure 1 It is the schematic diagram of the implementation of fixed frequency noise and random noise cancellation. Assuming that the known communication signal s(t) is a sinusoidal signal, the existence time is T, that is, the communication time is T seconds; the noise is a fixed frequency sinusoidal noise s 0 (t) and white noise n 0 (t) mixed noise, and always exists. Through simulation, the communication signal s(t), noise s 0 (t)+n 0 (t) and signal plus noise s 0 (t)+n 0 The time domain waveform of (t)+s(t) is as follows figure 2 As shown, their frequency domain waveforms are shown as image 3 , Figure 4 , Figure 5 shown.

[0026] First, for s 0 (t)+n 0 (t)+s(t) for delay t 1 , will delay t 1 and undelayed s 0 (t)+n 0 (t)+s(t) are respectively connected to the Input end and the Desired end of the adaptive filter 1. where t 1 0 (t), get n 0 (t). The time-domain waveforms of the Desired, Input, and Error signals of adaptive filter 1 are as follow...

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 provides an adaptive denoising method of a non-continuous communication signal under a multi-interference condition. Parallel processing is performed on a non-continuous communication signal s(t) mixed with a fixed frequency interference signal s0(t) and a random interference signal n0(t) by using two adaptive filters, Desired ends of the two adaptive filters are both connected with an original received signal s0(t)+n0(t)+s(t), Input ends of the first adaptive filter and the second adaptive filter are connected with original received signals with delays t1 and t2 respectively, iterative calculation is performed by using the two adaptive filters, Error end output signals n0(t) and n0(t)+s(t) of the two adaptive filters are connected to Input and Desired ends of a third adaptive filter respectively, and the Error end of the third adaptive filter outputs a signal e(n)=s(t), so that a communication signal is effectively restored. According to the method, the fixed frequency noise with strong autocorrelation can be effectively eliminated, and the random noise with weak autocorrelation can also be effectively inhibited.

Description

technical field [0001] The invention provides an adaptive denoising method for discontinuous communication signals under multiple interference noises, which improves the ability of traditional single adaptive filters to suppress random noises, and can be used for various interference signals such as fixed frequency interference signals and random interference signals. Noisy communication signals are filtered and processed. Background technique [0002] With the rapid development of signal processing technology, adaptive signal processing has become an important branch of the discipline of signal and information processing. Communication, radar and other signals will inevitably be interfered by noise during the receiving process, which affects the transmission and identification of signals. . With the increasing popularity of radio technology, there are more and more types of signals in space. During the communication process, communication signals will be interfered by many...

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): H04L25/03
Inventor 谭志良毕军建徐立新关闯张希军王玉明谢鹏浩崔立东
Owner PEOPLES LIBERATION ARMY ORDNANCE ENG COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap