Search Results

You are looking at 1 - 10 of 6,475 items for :

  • Weather radar signal processing x
  • Refine by Access: All Content x
Clear All
Sebastián M. Torres
and
Christopher D. Curtis

1. Introduction Weather radars typically sample the received signals at a rate given by the inverse of the pulse width. Range-oversampling processing operates on time series samples that are acquired at an L -times-as-fast rate, where L is the range-oversampling factor. A generalized model for this type of processing involves two stages: transformation and estimation ( Torres and Curtis 2012 ). In the transformation stage, an L -by- M matrix of time series samples V is transformed as X

Free access
Christopher D. Curtis

1. Introduction Time series simulation plays an important role in developing new weather radar signal processing algorithms. Having simulated data that accurately represent the weather signal characteristics is essential. In this paper, a few modifications to conventional simulators will be introduced to improve both accuracy and performance. The focus will be on simulating single-polarization weather radar data using a Gaussian spectral model for the weather (or ground clutter) signal

Full access
John Y. N. Cho

study: Investigation of interference into 5 GHz weather radars from unlicensed national information infrastructure devices, Part II. Department of Commerce NTIA Rep. TR-11-479, 28 pp. [Available online at https://www.its.bldrdoc.gov/publications/download/11-479.pdf .] Cho , J. Y. N. , 2010 : Signal processing algorithms for the Terminal Doppler Weather Radar: Build 2. MIT Lincoln Laboratory Project Rep. ATC-363, 79 pp. [Available online at http

Full access
Iwan Holleman
,
Asko Huuskonen
, and
Brandon Taylor

, respectively. The angular extent of both scatterplots in elevation is about ±0.9° while that in azimuth is about ±1.2° and ±0.9° for WFT1 and WFT4, respectively. It is detailed in section 2 that the azimuthal width is determined by the windows and the number of pulses used in the weather radar signal processing. The solar interferences from WFT1 are averaged over 1° azimuth while those from WFT4 are based on three azimuth samples only, corresponding to 0.1°–0.2° (see Table 1 ). For the latter the

Open access
Iwan Holleman
,
Asko Huuskonen
, and
Brandon Taylor

, respectively. The angular extent of both scatterplots in elevation is about ±0.9° while that in azimuth is about ±1.2° and ±0.9° for WFT1 and WFT4, respectively. It is detailed in section 2 that the azimuthal width is determined by the windows and the number of pulses used in the weather radar signal processing. The solar interferences from WFT1 are averaged over 1° azimuth while those from WFT4 are based on three azimuth samples only, corresponding to 0.1°–0.2° (see Table 1 ). For the latter the

Open access
Nawal Husnoo
,
Timothy Darlington
,
Sebastián Torres
, and
David Warde

reviews on ground-clutter filters for weather radars. The performance of most practical ground-clutter mitigation techniques, however, is limited by both signal and system characteristics, which the QPE QC must take into account. In this work, we present a new QPE QC algorithm (using neural networks) that takes advantage of a signal-processing-based ground-clutter-mitigation technique. The proposed algorithm selects the best radar data for QPE while balancing the performance of the ground

Full access
Martin Hurtado

. REFERENCES Abramowitz , M. , and I. A. Stegun , Eds., 1972 : Handbook of Mathematical Functions with Formulas, Graphs and Mathematical Tables . 9th ed . Dover Publications , 1046 pp. Ivić , I. R. , D. S. Zrnić , and T.-Y. Yu , 2009 : The use of coherency to improve signal detection in dual-polarization weather radars . J. Atmos. Oceanic Technol. , 26 , 2474 – 2487 , https://doi.org/10.1175/2009JTECHA1154.1 . 10.1175/2009JTECHA1154.1 Ivić , I. R. , C. Curtis , and S. M

Full access
J. C. Hubbert
,
G. Meymaris
,
U. Romatschke
, and
M. Dixon

R. Schafer , 1989 : Discrete-Time Signal Processing . Prentice Hall , 879 pp. Orfanidis , J. , 1996 : Introduction to Signal Processing . Prentice Hall , 783 pp., https://www.ece.rutgers.edu/~orfanidi/intro2sp/ . Ruckdeschel , F. , 1981 : Basic Scientific Routines . Vol. II. BYTE/McGraw-Hill, 790 pp . Sachidananda , M. , and D. Zrnić , 1999 : Systematic phase codes for resolving range overlaid signals in a Doppler weather radar . J. Atmos. Oceanic Technol. , 16 , 1351

Open access
A. Addison Alford
,
Michael I. Biggerstaff
,
Conrad L. Ziegler
,
David P. Jorgensen
, and
Gordon D. Carrie

technique to correct them in postprocessing does not exist to our knowledge. The method is implemented in many research radars and is detailed more in section 2 . The second method is implemented in U.S. National Weather Service WSR-88D radar processors in real time. The application of the staggered PRT method ( Torres et al. 2004 ) is optimized for operational use including the minimization of errors but is not implemented in most research radars. Specifically, the WSR-88D staggered PRT dealiasing

Restricted access
John Y. N. Cho

1. Introduction The Terminal Doppler Weather Radar (TDWR) radar data acquisition (RDA) subsystem is being replaced as part of a broader Federal Aviation Administration (FAA) program to improve the supportability of the system. An engineering prototype RDA has been developed with a scalable, open-systems hardware platform ( Cho et al. 2004 ). With the dramatically increased computing power and more flexible transmitter control, modern signal processing algorithms can be implemented to improve

Full access