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

A noise-resistant radio frequency fingerprinting method for radar lfm signals

A technology of radio frequency fingerprint and identification method, applied in radio wave measurement systems, instruments, etc., can solve the problems of difficult identification of equipment identity, destruction of fingerprint information, etc., and achieve the effect of solving the problem of low signal-to-noise ratio.

Active Publication Date: 2021-03-09
SOUTHEAST UNIV +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing denoising technologies usually use mean method or filtering method to remove noise, but these denoising methods are easy to damage the fingerprint information, making it difficult to identify the identity of the device

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 noise-resistant radio frequency fingerprinting method for radar lfm signals
  • A noise-resistant radio frequency fingerprinting method for radar lfm signals
  • A noise-resistant radio frequency fingerprinting method for radar lfm signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0057] This embodiment provides an anti-noise radio frequency fingerprint identification method for radar LFM signals. Through this method, after receiving an LFM signal with a low signal-to-noise ratio, the receiver can perform noise reduction processing without destroying the device fingerprint. And extract the physical fingerprint features of the device from the noise-reduced signal for identity authentication.

[0058] The procedure of this method is as follows figure 1 Shown:

[0059] Step 1: The transmitter transmits a radio frequency signal, which is a pulse signal modulated by LFM after frequency up-conversion, and the radio frequency signal is denoted as S(t).

[0060] Step 2: The receiver takes the sampling rate f s Receive the radio frequency signal S(t), obtain the discrete signal S(n), obtain the intermediate frequency signal y(n...

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 an anti-noise radio frequency fingerprint identification method for radar LFM signals. The method includes demodulating and obtaining a baseband LFM signal after receiving a signal with a low signal-to-noise ratio, estimating the frequency and frequency modulation slope of the signal, and performing signal processing on the signal. Fitting and denoising in sections, splicing to obtain a complete fitting signal, performing a first-order difference on the fitting signal, and taking the envelope of the differenced signal, and finally taking the sampling points at the beginning and end of the envelope as the transient signal fingerprint, the envelope The segmented averages of the intermediate stages are used as steady-state signal fingerprints, and a suitable classification method is used for device identification of the transmitter. The invention can effectively extract the physical fingerprint feature of the LFM pulse signal under the condition of low signal-to-noise ratio, and effectively solves the problem of low signal-to-noise ratio that must be faced in actual application of the equipment identification method based on the LFM pulse signal.

Description

technical field [0001] The present application relates to a radio frequency fingerprint identification method, in particular to a noise-resistant radio frequency fingerprint identification method for radar LFM signals. Background technique [0002] Radar signal identification refers to the process of comparing the signal parameters of the measured radiation source with the parameters of the radiation source known in advance to confirm the original properties of the radiation source. Radar signal recognition is an important prerequisite to ensure the effectiveness of radar countermeasures and jamming equipment. The traditional radar identification method only needs to be based on pulse descriptor (pulse descriptor word, PDW for short) technology. This technology extracts the pulse width, frequency, arrival time, arrival angle and other parameters of the pulse signal to identify the system, purpose and model of the radar, so as to grasp the working status and guidance mode of...

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): G01S7/02
CPCG01S7/021
Inventor 邢月秀胡爱群米思娅黄贵根金丽洁
Owner SOUTHEAST 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