Radar detection method distinguishing rain echoes and radar implementing such a method

Patent metadata

Field	Value
Publication number	US-10585172-B2
Application number	US-201515527655-A
Country	US
Kind code	B2
Filing date	Sep 4, 2015
Priority date	Dec 12, 2014
Publication date	Mar 10, 2020
Grant date	Mar 10, 2020

Abstract

The distinguishing of rain echoes from ground echoes is performed by an analysis of the attenuation of the radar echoes, a radar echo being classed as a rain echo if its attenuation on a logarithm scale as a function of distance fluctuates around an affine straight line according to a given statistical law.

First claim

The invention claimed is:

1. A radar detection method for distinguishing rain echoes from ground echoes, the method comprising:
analyzing, for a number of distance gates in at least one given angular pointing, attenuation of radar echoes received by a mobile airborne carrier,
receiving, as echo to a number of emitted pulses, a power in each distance gate,
testing a model, which is log-linear with distance, on said powers, and
classifying one or more of the radar echoes as a rain echo, (i) responsive to the respective attenuation statistically fluctuating, on a logarithmic scale as a function of distance, around an affine straight line within one or more thresholds and (ii) when said powers and the corresponding distances comply with said model, said powers fluctuating around said affine straight line within the one or more thresholds,
wherein the analysis and the classification are performed aboard the mobile airborne carrier.

2. The method as claimed in claim 1 , wherein coefficients of said log-linear model are estimated on the basis of the powers received in the distance gates.

3. The method as claimed in claim 2 , wherein an arithmetic mean of the powers received in each distance gate as echo to said emitted pulses is used for the estimation of said coefficients.

4. The method as claimed in claim 1 , wherein the powers received are summed with weightings originating from an estimation of the parameters of said log-linear model, a radar echo being classified as rain echo if the result of the sum is less than a given threshold.

5. The method as claimed in claim 1 , wherein coefficients of said log-linear model are estimated according to a least squares criterion.

6. The method as claimed in claim 1 , wherein coefficients of said log-linear model are estimated according to a maximum likelihood criterion, said affine straight line being obtained by linear regression, the linear regression residual being calculated for the powers received as echoes to the pulses emitted, the corresponding radar echo being classified as rain echo when the linear regression residual is less than a given threshold.

7. The method as claimed in claim 6 , wherein said analysis being carried out on a number of distance gates in a given number of pointings, the linear regression residual is calculated for each pointing.

8. The method as claimed in claim 1 , wherein the noise of said log-linear model is modeled as being distributed according to a probability law from a log-Gamma family.

9. The method as claimed in claim 1 , wherein noise of said log-linear model is regarded as Gaussian noise.

10. A radar, comprising processing means implementing the method as claimed in claim 1 .

Assignees

• Thales Sa

Inventors

• Enderli Cyrille
• Lombard Mathias
• Schaub Marie-Françoise

Classifications

• G01S7/414 Primary

  Discriminating targets with respect to background clutter · CPC title

• G01S13/958

  Theoretical aspects · CPC title

• G01S13/24

  using frequency agility of carrier wave · CPC title

• Y02A90/18

  Cross-Sectional Technologies · mapped topic

• Y02A90/10

  Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation · CPC title