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

A Feature Extraction and Parameter Estimation Method of Frequency Hopping Signal

A frequency-hopping signal and feature extraction technology, applied in the field of signal processing, can solve the problems of cross-terms and TT transform noise sensitivity, time and frequency resolution constraints, etc., to avoid mutual constraints of time and frequency resolution, good noise immunity Effect

Active Publication Date: 2022-02-22
JILIN UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the problems that the traditional time-frequency analysis method has the mutual constraints of time and frequency resolution, the existence of cross terms and the sensitivity of TT transformation to noise, and provides a method for feature extraction and parameter estimation of frequency hopping signals

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 Feature Extraction and Parameter Estimation Method of Frequency Hopping Signal
  • A Feature Extraction and Parameter Estimation Method of Frequency Hopping Signal
  • A Feature Extraction and Parameter Estimation Method of Frequency Hopping Signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The present invention is described in detail below in conjunction with accompanying drawing:

[0054] refer to figure 1 , when estimating the parameters of the frequency hopping signal, the traditional time-frequency analysis method has the problems of time and frequency resolution mutual constraints, and the existence of cross terms, and the TT transform is sensitive to noise, which cannot be realized under the condition of low signal-to-noise ratio For the problem of parameter estimation of frequency hopping signals, the present invention proposes a method for feature extraction and parameter estimation of frequency hopping signals, the method includes the following steps:

[0055] 1. Frequency hopping signal sampling

[0056] Time-domain sampling is performed on the frequency-hopping signal for parameter estimation, and the sampling frequency is f s , obtain the discrete sampling signal sequence x(n) of the frequency hopping signal; n=1,2,...N; N is the number of s...

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 hopping signal feature extraction and parameter estimation method, which overcomes the problems of mutual restriction of time and frequency resolution, existence of cross terms and TT transform being sensitive to noise in the prior art. The steps are: 1. Frequency hopping signal sampling; 2. Make smooth pseudo Wigner time-frequency transform; 3. Make TT transform based on SPWVD transform; 4. Draw SPWVD‑TT transform diagram; 6. Find the upper envelope curve and remove the DC component; 7. Estimate the frequency hopping period: perform Fourier transform on the upper envelope curve after removing the DC component, and the frequency corresponding to the maximum amplitude value in the obtained amplitude-frequency diagram is is the estimated value of the frequency hopping rate, and the reciprocal of the frequency hopping rate is the estimated value of the frequency hopping period; 8. Estimated frequency hopping time: pass the remaining peak time points t 1 ,t 2 ,...,t k‑1 Estimate the frequency hopping moment; reduce the error by the cumulative average method, and the initial frequency hopping moment is estimated as

Description

technical field [0001] The present invention relates to the technical field of signal processing, more precisely, the present invention relates to a method for feature extraction and parameter estimation of frequency hopping signals. Background technique [0002] Frequency hopping communication has been greatly developed in the military field due to its good anti-interference, low intercept probability and flexible networking capabilities. Various radio stations using frequency hopping technology have been widely used in the military field, which greatly improves the reliability of military equipment Anti-interception and anti-jamming capabilities. In communication countermeasures, effective extraction of parameters of frequency hopping communication signals is the first prerequisite for jamming. Therefore, the parameter estimation of frequency hopping signals with unknown parameters has become the focus of communication countermeasure research, which is of great significan...

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): H04B1/713H04B1/715
CPCH04B1/713H04B1/715
Inventor 孙晓东刘昕宇刘禹震孙思瑶
Owner JILIN UNIV
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