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

Method for recognizing non-meteorological echo caused by automobile driving in radar echo

A meteorological echo and radar echo technology, applied in radio wave reflection/re-radiation, climate sustainability, radio wave measurement system, etc., can solve non-meteorological echo recognition effect is not good, non-meteorological echo interference And other issues

Active Publication Date: 2014-08-27
宁波市气象台
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Chinese Patent No. 200910153740.8 discloses a method for processing non-meteorological clutter in radar echoes. The radar reflectivity quality control algorithm involved in this invention has achieved good results in the first few years, but in the last 1 ~2 years, new types of non-meteorological echo interference caused by driving cars appeared on the radar
Therefore, the characteristics of the speed and broad width of this new type of clutter are still different from those of general super-refractive ground clutter. Poor recognition of echoes

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
  • Method for recognizing non-meteorological echo caused by automobile driving in radar echo
  • Method for recognizing non-meteorological echo caused by automobile driving in radar echo
  • Method for recognizing non-meteorological echo caused by automobile driving in radar echo

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0029] A method for identifying non-meteorological echoes caused by vehicle driving in radar echoes, the radar volume scan data of radar echoes obtained by SA Doppler weather radar using VCP21 volume scan mode scanning, including radar reflectivity values, defined Echo points with radar reflectivity values ​​are effective echo points, and the identification method includes the following steps:

[0030] ① Calculate the horizontal smoothness of the reflectivity of each effective echo point in each elevation angle layer in the radar volume scan data, and set the polar coordinates of the i-th elevation angle layer in the radar volume scan data as (g 0 ,a 0 ) The reflectivity level smoothness of the effective echo point is denoted as S h (g 0 ,a 0 ,i), S h ( g ...

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 method for recognizing a non-meteorological echo caused by automobile driving in a radar echo. The method is characterized by comprising the following steps that the horizontal smoothness and the height of reflectivity of all effective echo points are calculated; radar body scan data within the set height range are equally divided into multiple vertical sampling data layers, and then the reflectivity average smoothness of each vertical sampling data layer is calculated; a discrete horizontal smoothness frequency distribution curve of a reflectivity range is obtained, and a horizontal dynamic threshold is found; the reflectivity vertical declining rate of each vertical effective echo point set is calculated; a discrete vertical declining rate frequency distribution curve of the reflectivity range is obtained, and a vertical dynamic threshold is found; all the effective echo points in the radar body scan data are recognized as the meteorological echo points and the non-meteorological echo points caused by automobile driving. The method for recognizing the non-meteorological echo caused by automobile driving in the radar echo has the advantage that the non-meteorological echo caused by automobile driving can be recognized rapidly and effectively.

Description

technical field [0001] The invention relates to a non-meteorological echo processing technology, in particular to a method for identifying non-meteorological echoes caused by automobile driving in radar echoes. Background technique [0002] Doppler weather radar uses the backscattering of electromagnetic waves by cloud and rain targets to discover meteorological targets, and measure the spatial position and intensity distribution of meteorological targets, so as to understand the occurrence, evolution, and movement speed of precipitation. But Doppler weather radar can also detect non-meteorological targets. When the non-meteorological target is processed into the radar base data, it will cause clutter pollution. The non-meteorological target is the non-meteorological echo, including ground clutter, isolated point and speckle noise clutter. Ground clutter includes ordinary ground clutter NP that exists when the radar beam propagates normally and transient clutter AP caused b...

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): G01S7/41G01S13/95
CPCG01S7/411G01S13/956Y02A90/10
Inventor 黄旋旋姚日升涂小萍丁烨毅徐迪峰郭建民邬方平
Owner 宁波市气象台
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