High-Frequency Autofocus Algorithm for Noncooperative ISAR
Final rept. Oct 97-Oct 98
ARMY RESEARCH LAB ADELPHI MD
Pagination or Media Count:
High-quality automatic target recognition algorithms implemented using a real-beam radar require imagery with resolved target characteristics. This report presents an iterative motion parameter estimation algorithm that improves the quality of high-resolution two-dimensional inverse synthetic aperture radar ISAR images. The algorithm uses the derivative of the phase history of isolated point scatterers to estimate the initial conditions for the target motion parameters of a maneuvering vehicle. The algorithm was tested using simulated data. We report on the agreement between the actual and estimated values of range and entropy.
- Active and Passive Radar Detection and Equipment
- Target Direction, Range and Position Finding