Modified Planar Subarray Processing Algorithm Based on ISFT for Real-Time Real Imaging of Ice Ice-Sounding Data
Abstract: We develop and then demonstrate a modified planar subarray processing algorithm based on the inverse scaled Fourier transform applied to very high frequency ice-sounding sounding data that produces swath measurements of ice sheet surface topography, ice thickness, and radar reflectivity of both internal reflecting horizonss and bedrock of the ice sheet. It is a real real-time ice-sounding sounding imaging method. First, theory analysis has been carried on the proposed algorithm. Then, we give the particular realizing steps to implement this algorithm. Finally, we apply this algorithm to the simulation point targets and real data collected during the 29th Chinese Antarctic Research Expedition to prove its validity of imaging of ice sheets. Furthermore, compared with two previous algorithms in two major aspects-the the power of azimuth clutter reduction and calculating time-the time proposed algorithm could considerably reduce the imaging time to meet the requirement of real-time imaging of ice-sounding sounding data without degrading the ability of azimuth clutter reduction via C+MPI language on a parallel ccomputer omputer system.