US5592171A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Wind profiling radar
Assignee: United States Department of Commerce
•
Filing: 1995-08-17
•
Granted: 1997-01-07
•
Expires: 2015-08-17
Abstract
Abstract Clutter present in radar return signals as used for wind profiling is substantially removed by carrying out a Daubechies wavelet transformation on a time series of radar return signals. The smoothly varying nature of the return from clutter provides a relatively small number of high amplitude components in the wavelet transformation, which are truncated to remove the clutter. Inverse transformation yields a time series having had a significant amount of clutter removed, without distortion of the radar return from turbulence, which can then be processed to provide useful wind profile data.
Inventors
- 👤 James R. Jordan
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-23 01:31
CPC Classifications
G; G01; G01S; G01S13/00; G01S13/02; G01S13/50; G01S13/58; G01S13/581; G01S13/52; G01S13/522; G01S13/524; G01S13/5244; G01S13/88; G01S13/95; G01S13/951; G01S7/00; G01S7/02; G01S7/28; G01S7/285; G01S7/288; G01S7/2886; Y; Y02; Y02A; Y02A90/00; Y02A90/10
Claims Analysis
Total Claims: 7
Claim 1
Independent Claim
137 words
A method of measuring wind velocity, including the step of reducing the amplitude of clutter components in a series of samples representing a radar return signal with respect to the return from meteorological reflectors, comprising the steps of: computing wavelet transforms of the series of samples employing selected wavelet functions, in order to calculate a set of components; identifying relatively large components from said set of components as due to smoothly-varying radar return signals from nonmeteorological reflectors; truncating the amplitude of the identified components; computing the inverse transform with respect to the remaining components, yielding a series of processed samples having had the return from said nonmeteorological reflectors effectively removed; calculating the power spectrum of the series of processed samples; and analyzing the power spectrum to determine the velocity of meteorological reflectors contributing to the return signal.
Claim 2
Independent Claim
137 words
A method of measuring wind velocity, including the step of reducing the amplitude of clutter components in a series of samples representing a radar return signal with respect to the return from meteorological reflectors, comprising the steps of: computing wavelet transforms of the series of samples employing selected wavelet functions, in order to calculate a set of components; identifying relatively large components from said set of components as due to smoothly-varying radar return signals from nonmeteorological reflectors; truncating the amplitude of the identified components; computing the inverse transform with respect to the remaining components, yielding a series of processed samples having had the return from said nonmeteorological reflectors effectively removed; calculating the power spectrum of the series of processed samples; and analyzing the power spectrum to determine the velocity of meteorological reflectors contributing to the return signal.
Claim 3
Dependent Claim
13 words
The method of claim 1, wherein said selected wavelet functions include Daubechies wavelets.
Claim 4
Dependent Claim
15 words
The method of claim 2, wherein said Daubechies wavelets include 4- and 20-term Daubechies wavelets.
Claim 5
Dependent Claim
39 words
The method of claim 1, wherein said wavelet transforms are computed by comparing each of a number of predetermined values representing the selected wavelets to members of corresponding subsets of the series of samples of the radar return signal.
Claim 6
Dependent Claim
31 words
The method of claim 4, wherein said comparison step is performed repeatedly with respect to subsets of the series of samples and sets of predetermined values representing relatively dilated selected wavelets.
Claim 7
Dependent Claim
30 words
The method of claim 1, wherein said step of calculating the power spectrum of a series of processed samples is performed by Fourier transformation of the series of processed samples.
References Cited (Backward Citations)
US4728952A
Cited
US4881077A
Cited
US4742353A
Cited
US4887088A
Cited
US4881020A
Cited
US4835536A
Cited
US4965585A
Cited
US5000183A
Cited
US5124930A
Cited
US5038145A
Cited
US5164731A
Cited
US5128904A
Cited
US5179542A
Cited
US5392255A
Cited
US5412741A
Cited
US5486833A
Cited
US5453945A
Cited
US5481269A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2000-01-07 | 2000-07-08 | 2001-01-07 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2004-01-07 | 2004-07-08 | 2005-01-07 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2008-01-07 | 2008-07-08 | 2009-01-07 | $7700.00 | Window Closed / Lapsed |