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

Laser radar echo signal de-noising method based on variational mode decomposition

A variational modal decomposition, lidar technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of errors, inability to separate useful signals from noise, poor adaptability, etc., to filter out noise, avoid adverse effects, Guaranteed effect of integrity

Active Publication Date: 2018-11-20
NANJING UNIV OF INFORMATION SCI & TECH
View PDF5 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Kalman filtering is an algorithm that uses the minimum mean square error as the best criterion to seek recursive estimation. It can process time-varying systems, non-stationary signals, and multidimensional signals. However, when the signal changes sharply, this method will cause huge error
The wavelet transform can decompose the signal into different frequency components through multi-scale analysis, and has good time-frequency localization characteristics, but there is a problem with the selection of wavelet basis functions, and the adaptability is poor
Empirical mode decomposition makes up for the shortcomings of wavelet transform, has good adaptability, and can perfectly reflect the local frequency characteristics of the signal, but it lacks strict mathematical proof in theory, and there are endpoint effects, modal mixing, etc. The problem is that it interferes with the subsequent decomposition of the signal, so that the decomposition result cannot effectively separate the useful signal from the noise, which affects the denoising effect

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
  • Laser radar echo signal de-noising method based on variational mode decomposition
  • Laser radar echo signal de-noising method based on variational mode decomposition
  • Laser radar echo signal de-noising method based on variational mode decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0037] The denoising method of lidar echo signal based on variational mode decomposition in this embodiment, such as figure 1 shown, including the following steps:

[0038] Step 1: According to the laser radar equation, simulate the laser radar echo signal;

[0039] The lidar equation is:

[0040]

[0041] Among them, P(r) is the detected echo power; c is the speed of light; r is the detection distance; E 0 is the emitted laser pulse energy; Y(r) is the lidar geometric overlap factor; A r is the receiving area of ​​the telescope; β(r) is the backscattering coefficient of the target at r; T(r) is the atmospheric transmittance; T t T r is the total transmittance of the transmitting and receiving optical system.

[0042] Step 2: Use detrended fluctuation analysis to select the optimal decomposition level K of variational mode decomposition;

[0043] Using detrended fluctuation analysis to obtain the scale index of the lidar echo signal and the scale index of each modal c...

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 relates to a laser radar echo signal de-noising method based on variational mode decomposition. The method comprises the steps of according to a laser radar equation, simulating a laserradar echo signal; selecting an optimal decomposition layer number K in variational mode composition by means of detrended fluctuation analysis; performing variational mode decomposition on the laserradar echo signal; then calculating similarity between the laser radar echo signal and each mode probability density function after decomposition through Bhattacharyya distance, differentiating a correlation mode and an uncorrelated mode; then processing the uncorrelated mode by means of a moving average mode, and extracting a related signal; and finally reconstructing the correlation mode and theprocessed uncorrelated mode for realizing de-noising of the laser radar echo signal. The laser radar echo signal de-noising method can effectively filter the noise in the laser radar echo signal andimproves effective detecting distance and precision of the laser radar.

Description

technical field [0001] The invention relates to a laser radar echo signal denoising method based on variational mode decomposition, and belongs to the technical field of laser radar data processing. Background technique [0002] Lidar is the product of the combination of traditional radar technology and modern laser technology. It has the characteristics of high resolution, good detection performance, and strong anti-interference ability. , visibility, etc. [0003] In practical applications, the intensity of the lidar echo signal decreases with the increase of the detection distance, and it is mixed with various noises. In particular, the strong background light of the sun during the day will cause the signal to be completely submerged in the noise. It will directly affect the effective detection distance and accuracy of lidar. Therefore, using an effective noise filtering method to extract useful signals from the background noise is the key to realize all-weather and hig...

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 Applications(China)
IPC IPC(8): G01S7/495G01S7/48
CPCG01S7/4802G01S7/495
Inventor 常建华李红旭徐帆朱玲嬿刘秉刚豆晓雷
Owner NANJING UNIV OF INFORMATION SCI & TECH
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