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Proceedings with Extended Abstracts (single PDF file) - Radio ...

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waves can be observed more clearly in the STARS results than in those produced by DBS;Figs. 2 and 3.The presented results show that DBS and traditional SA techniques failed most of time inretrieving the mean winds in the presence of strong ground clutter and hard targets whileSTARS performance was reasonable during the whole data collection period. The resultsfurther demonstrate that STARS is not very sensitive to noise <strong>with</strong> large temporal scale; seealso Praskovsky et al. (2003). Therefore, the method could be applied efficiently in quiteadverse measurement conditions such as in airports, mountainous areas, and so on. Thisfeature could make the UCAR-STARS technique a useful alternative to the traditional, CFand spectra-based data analysis methods for SA radars.Acknowledgements. The first author (EP) was sponsored by the National Science Foundation (NSF)Grant ATM-0122877. NCAR is sponsored by the NSF.REFERENCESBriggs, B. H., The analysis of spaced sensor records by correlation techniques, MAPHandbook, 13, 166-186, 1984.Briggs, B. H., and R. A. Vincent, Spaced-antenna analysis in the frequency domain, <strong>Radio</strong>Sci., 27, 117-129, 1992.Doviak, R. J., R. J. Lataitis, and C. L. Holloway, Cross correlations and cross spectra forspaced antenna wind pro<strong>file</strong>rs, 1, Theoretical analysis, <strong>Radio</strong> Sci., 31, 157-180, 1996.Fooks, G.F., Ionospheric drift measurements using correlation analysis: method ofcomputation and interpretation of results, J. Atmos. Terr. Phys., 27, 979-989, 1965.Holloway, C. L., R. J. Doviak, S. A. Cohn, R. J. Lataitis, and J. S. Van Baelen, Crosscorrelations and cross spectra for spaced antenna wind pro<strong>file</strong>rs, 2, Algorithms to estimatewind and turbulence, <strong>Radio</strong> Sci., 32, 967-982, 1997.Meek, C.E., A.H. Manson, and J.B. Gregory, An efficient method for analyzing ionosphericdrift data, J. Atmos. Terr. Phys., 42, 835-839, 1980.Praskovsky, A. A., and E. A. Praskovskaya, Structure-function-based approach to analyzingreceived signals for spaced antenna radars, <strong>Radio</strong> Sci., 38(4), 7-1 - 7-25, 2003a.Praskovsky, A. A., and E. A. Praskovskaya, Towards the advanced measurements ofatmospheric turbulence by spaced antenna radars, this volume, 2003b.Praskovsky, A. A., E. A. Praskovskaya, W. O. J. Brown, S. A. Cohn, and S. Oncley,Advanced measurements of atmospheric turbulence <strong>with</strong> a UHF spaced antenna windpro<strong>file</strong>r, Submitted to Ann. Geophys., MST-10 Special issue, 2003.Röttger, J., C. H. Liu, J. C. Chao, A. J. Chen, Y. H. Chu, I.-J. Fu, C. M. Huang, Y. W. Kiang,F. S. Kuo, C. H. Lin, and C. J. Pan, The Chung-Li VHF radar: Technical layout and asummary of initial results, <strong>Radio</strong> Sci, 25, 487-502, 1990.Tatarskii, V. I., The Effects of the Turbulent Atmosphere on Wave Propagation, UDC551.510, U.S. Dep. of Commerce, Washington, D.C., 1971.233

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