A Chirplet Transform-Based Algorithm for Detecting Accelerated Radar Targets

Abstract

A chirplet transform-based algorithm is analyzed as a mean for detecting radar targets moving with a constant acceleration. The ambiguity function of the chirp signal associated with radar return from such targets is presented in an analytical form. The improvement of the signal-to-noise ratio provided by the suggested algorithm over the standard Fourier transform is evaluated for the case of chirp signals detectable against a "white" noise background. A flowchart for implementation of the suggested algorithm based on the multichannel weighted Fourier transform is presented.