Cuong H Nguyen
Nail Technician in Fort Collins, CO
License number
Colorado 8161
Issued Date
Dec 13, 2001
Renew Date
Apr 1, 2016
Expiration Date
Mar 31, 2018
Type
Nail Technician
Address
Address
1356 St John Pl, Fort Collins, CO 80525
Professional information
Gaussian Model Adaptive Processing In The Time Domain
US Patent:
8164512, Apr 24, 2012
Filed:
Oct 8, 2009
Appl. No.:
12/575698
Inventors:
Chandrasekaran Venkatachalam - Fort Collins CO, US
Cuong M. Nguyen - Fort Collins CO, US
Cuong M. Nguyen - Fort Collins CO, US
Assignee:
Colorado State University Research Foundation - Fort Collins CO
International Classification:
G01S 13/00
US Classification:
342159, 342162
Abstract:
Embodiments of the present invention provide a Gaussian adaptive filter for ground clutter filtering and signal parameter estimation for weather radars in the time domain. In some embodiments, the filtering can be applied to dual polarization radar systems. In some embodiments, the clutter component of the signal can be transformed to noise. An interpolation procedure can then be used to recover the transformed part of the weather. A unique filter can be designed to use for both H and V channels for dual-polarization parameter estimation. In addition, the filter can be directly extended for staggered PRT 2/3 sampling scheme.
Dual-Polarization Radar Processing System Using Time Domain Method
US Patent:
2009029, Dec 3, 2009
Filed:
May 7, 2009
Appl. No.:
12/387839
Inventors:
Chandrasekaran Venkatachalam - Fort Collins CO, US
Cuong M. Nguyen - Fort Collins CO, US
Dmitri N. Moisseev - Helsinki, FI
Cuong M. Nguyen - Fort Collins CO, US
Dmitri N. Moisseev - Helsinki, FI
Assignee:
Colorado State University Research Foundation Technology Transfer - Fort Collins CO
International Classification:
G01S 13/95
US Classification:
342 26 R
Abstract:
Embodiments of the present invention provide for improved estimation of environmental parameters in a dual-polarization radar system. In some embodiments, environmental parameters can be estimated using a linear combination of data received in two orthogonal polarization states. In particular, embodiments of the invention improve ground clutter and noise mitigation in dual polarization radar systems. Moreover, embodiments of the invention also provide for systems to determine the differential reflectivity and/or the magnitude of the co-polar correlation coefficient and the differential phase in a dual polarization radar system.
Sensitivity Enhancement System
US Patent:
8274423, Sep 25, 2012
Filed:
Oct 20, 2010
Appl. No.:
12/908657
Inventors:
Chandrasekaran Venkatachalam - Fort Collins CO, US
Cuong M. Nguyen - Fort Collins CO, US
Nitin Bharadwaj - Richland WA, US
Cuong M. Nguyen - Fort Collins CO, US
Nitin Bharadwaj - Richland WA, US
Assignee:
Colorado State University Research Foundation - Fort Collins CO
International Classification:
G01S 13/00
US Classification:
342 26R, 342159
Abstract:
Sensitivity is a critical aspect of weather radar systems. Such systems not only detect atmospheric patterns but often need to precisely measure weak precipitation echoes. Embodiments of the invention use pulse compression techniques to increase the sensitivity of weather radar systems. These techniques can include sending two waveforms into a region of interest, where the second waveform is designed based on knowledge about the first waveform. Such systems can enhance the sensitivity of weather radars about 10 dB.
Ground Clutter Mitigation Using A Parametric Time Domain Method
US Patent:
7652614, Jan 26, 2010
Filed:
Jul 30, 2007
Appl. No.:
11/830574
Inventors:
Chandrasekaran Venkatachalam - Fort Collins CO, US
Dmitriy Moiseev - Fort Collins CO, US
Cuong Nguyen - Fort Collins CO, US
Dmitriy Moiseev - Fort Collins CO, US
Cuong Nguyen - Fort Collins CO, US
Assignee:
Colorado State University Research Foundation - Fort Collins CO
International Classification:
G01S 13/95
US Classification:
342 26R, 342 25 D, 342159
Abstract:
Methods and systems are disclosed for investigating a region of interest with a radar. A radar signal is propagated to the region of interest. Sampled time-domain radar data scattered within the region of interest are collected. A likelihood function is calculated with the sampled time-domain data within a parametric model of the region of interest for a defined set of parameters. The set of parameters in varied to find an extremum of the likelihood function.