Accurate range profile alignment method based on minimum entropy for inverse synthetic aperture radar image formation

PROJECT TITLE :

Accurate range profile alignment method based on minimum entropy for inverse synthetic aperture radar image formation

ABSTRACT:

Accurate range profile alignment is an important step for achieving the following azimuth coherent processing for inverse synthetic aperture radar image formation. In this study, an iterative methodology based on minimum entropy is 1st proposed for accurate range profile alignment, that constructs a series of native quadratic curves to gradually approach the extremum of the entropy of range profiles. The accuracy of vary profile alignment depends on whether or not the iteration could be convergent to the optimal extremum. Unfortunately, the entropy of misaligned range profiles sometimes has numerous local extrema. The low-pass profile filtering is ready to smooth the entropy surface and eliminate the native extrema. Nevertheless, the detailed options of vary profiles also are lost thanks to the filtering therefore that the alignment accuracy may be reduced. Finally, a circulation cascade processing by appropriately combining the proposed iterative technique and the low-pass filtering is presented to form the vary profile alignment both convergent and accurate. Simulations and real knowledge are used to validate the performance of the proposed methodology on iteration convergence and alignment accuracy.

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