Technique for frequency analysis of unevenly sampled radar data

Abstract

A new technique is described that generalizes the usefulness of the discrete Fourier transform for spectral analysis of radar data to applications where the discrete data points to be analyzed are not sampled at regular intervals and/or do not have equal statistical weight. This method finds a frequency-domain representation which best represents the given time-domain data in the least-square-residual sense. The theoretical implications of such an approach are discussed, and an example of the technique applied to a Doppler processing task is given. The merits of the approach relative to other spectral analysis techniques are discussed.