Radar Engineering By G S N Raju Download From ~UPD~
Radar Engineering By G S N Raju Download From ~UPD~
Radar Engineering By G S N Raju Download From
the fast implementation of semiparametric method for spectrum estimation, i.e., spice_gs, is applied to mst radar data retrieved from the narl. since the gohbergsemencul factorization of the covariance matrices is applied, we can leverage the toeplitz/block-toeplitz structure to compute the spectral estimate. the processed results have revealed noteworthy computational reductions.
the spice_gs approach to estimate the atmospheric wind profile based on gps data for the above flight is used for the processed data obtained using spice_gs, adp, and gps. the results obtained for the zonal wind v_{x}, the meridional wind v_{y}, and the wind speed w components are displayed in the fig. 4. the spice_gs estimates are in agreement with the gps and adp estimates in the range 1417km. however, spice_gs estimates deviate from gps and adp in the range 5100km. this is because the former is obtained based on the gps data, which is filtered by the 10hz filter and the gps observation errors are included in the estimated results. further, a higher weighting factor is chosen by the user for the gps data and a smaller weighting factor is used for the gps data, where the adp is a weighted average of the gps and the ad hoc filtered data. however, spice_gs does not follow gps and adp with the increase in height.
the spice_gs approach is used for the estimate of the atmospheric wind profile for the case of gps data filtered by the 10hz filter and the ad hoc filtered data. the processed data obtained using spice_gs, adp and gps are used for the results in fig. 4. it can be seen from the fig. 4 that the spice_gs approach follows gps in the range 1417km and deviates from gps at the height of 5100km. the ad hoc filtering is used to obtain the wind profile estimates from the gps data and the filtered gps data for the range 1417km and at the height of 5100km.
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