Iterative autofocus algorithm for noncooperative ISAR at millimeter-wave frequencies

Geoffrey H. Goldman; Herbert Dropkin

doi:10.1117/12.354595

20 July 1999 Iterative autofocus algorithm for noncooperative ISAR at millimeter-wave frequencies

Geoffrey H. Goldman, Herbert Dropkin

Proceedings Volume 3704, Radar Sensor Technology IV; (1999) https://doi.org/10.1117/12.354595
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

High-quality automatic target recognition algorithms implemented with a real-beam radar require imagery with resolved target characteristics. This paper presents an iterative autofocus estimation algorithm that improves the quality of high-resolution 2D inverse synthetic aperture radar 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.

Citation Download Citation

Geoffrey H. Goldman and Herbert Dropkin "Iterative autofocus algorithm for noncooperative ISAR at millimeter-wave frequencies", Proc. SPIE 3704, Radar Sensor Technology IV, (20 July 1999); https://doi.org/10.1117/12.354595

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