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    Standard Deviation of the Copolar Correlation Coefficient for Simultaneous Transmission and Reception of Vertical and Horizontal Polarized Weather Radar Signals

    Source: Journal of Atmospheric and Oceanic Technology:;2003:;volume( 020 ):;issue: 005::page 760
    Author:
    Torlaschi, Enrico
    ,
    Gingras, Yves
    DOI: 10.1175/1520-0426(2003)20<760:SDOTCC>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The perturbation method is used to derive the variance of the zero-lag copolar correlation coefficient, ?|??HV?|?, for a radar simultaneously transmitting and receiving both horizontal and vertical polarization. The variance of ?|??HV?|? is a function of its expected value, the number of samples, the normalized Doppler velocity spectrum width, σ?n, and the signal-to-noise ratio in the receivers. Assuming the covariances and cross covariance of the radar signals are represented by zero-mean complex Gaussian processes, the precision of the estimate of ?|??HV?|? for alternate and simultaneous transmission and reception of horizontal and vertical polarization is discussed. Calculations show that variations in the expected value of ?|??HV?|? from 0.7 to 0.98 lead to a decrease in the precision of the estimate of ?|??HV?|? of more than one order of magnitude: for narrow spectra (σ?n < 0.04) the estimates do not depend on the sampling scheme used but on the number of samples taken, and at larger spectrum widths (σ?n > 0.1) the simultaneous scheme can be more than one order of magnitude more precise than the alternate scheme. Furthermore, for good precision the signal-to-noise ratio should exceed 10 dB.
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      Standard Deviation of the Copolar Correlation Coefficient for Simultaneous Transmission and Reception of Vertical and Horizontal Polarized Weather Radar Signals

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4158868
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorTorlaschi, Enrico
    contributor authorGingras, Yves
    date accessioned2017-06-09T14:35:40Z
    date available2017-06-09T14:35:40Z
    date copyright2003/05/01
    date issued2003
    identifier issn0739-0572
    identifier otherams-2242.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4158868
    description abstractThe perturbation method is used to derive the variance of the zero-lag copolar correlation coefficient, ?|??HV?|?, for a radar simultaneously transmitting and receiving both horizontal and vertical polarization. The variance of ?|??HV?|? is a function of its expected value, the number of samples, the normalized Doppler velocity spectrum width, σ?n, and the signal-to-noise ratio in the receivers. Assuming the covariances and cross covariance of the radar signals are represented by zero-mean complex Gaussian processes, the precision of the estimate of ?|??HV?|? for alternate and simultaneous transmission and reception of horizontal and vertical polarization is discussed. Calculations show that variations in the expected value of ?|??HV?|? from 0.7 to 0.98 lead to a decrease in the precision of the estimate of ?|??HV?|? of more than one order of magnitude: for narrow spectra (σ?n < 0.04) the estimates do not depend on the sampling scheme used but on the number of samples taken, and at larger spectrum widths (σ?n > 0.1) the simultaneous scheme can be more than one order of magnitude more precise than the alternate scheme. Furthermore, for good precision the signal-to-noise ratio should exceed 10 dB.
    publisherAmerican Meteorological Society
    titleStandard Deviation of the Copolar Correlation Coefficient for Simultaneous Transmission and Reception of Vertical and Horizontal Polarized Weather Radar Signals
    typeJournal Paper
    journal volume20
    journal issue5
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(2003)20<760:SDOTCC>2.0.CO;2
    journal fristpage760
    journal lastpage766
    treeJournal of Atmospheric and Oceanic Technology:;2003:;volume( 020 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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