Adaptive Chirp-Fourier Transform for Chirp Estimation with Applications in ISAR Imaging of Maneuvering Targets

摘要

This paper first reviews some basic properties of the discrete chirp-Fourier transform and then present an adaptive chirp-Fourier transform, a generalization of the amplitude and phase estimation of sinusoids (APES) algorithm proposed by Li and Stoica for sinusoidal signals. We finally applied it to the ISAR imaging of maneuvering targets.