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Performance of correlation estimators for spaced-antenna wind measurement in the presence of noise
National Center for Atmospheric Research, Boulder, Colorado, USA
National Severe Storms Laboratory, Norman, Oklahoma, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
National Center for Atmospheric Research, Boulder, Colorado, USA
The theoretical accuracy of baseline winds, estimated using spaced antennas (SA) and a full correlation analysis (FCA) method
to process signals in the presence of noise, is derived assuming horizontally isotropic refractive index perturbations with
a horizontal scale small compared to the transmitting antenna diameter D. This performance of the FCA method is compared with the theoretical performance of another correlation-based approach (i.e.,
the cross-correlation ratio method, CCR). The theoretical results of the error analysis are supported with numerical simulations
and experimental data. It is shown that the theoretical analysis is valid and the results can be applied to improve wind estimates
obtained from SA signals contaminated with additive white noise. The theory shows that the effect noise has on SA wind estimates
depends on system configuration and lag spacing, and cannot be correctly accounted by a reduced correlation coefficient due
to noise as hypothesized by
Received 15 December 2003; accepted 24 March 2004; published 26 June 2004.
Citation: (2004), Performance of correlation estimators for spaced-antenna wind measurement in the presence of noise, Radio Sci., 39, RS3017, doi:10.1029/2003RS003022.
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