Comparison study of TFA algorithms for dispersed RF signals in a noisy environment

Time frequency analysis is used to study RF chirps, transcribed in ionospheric radio science experiments. To date the short time fourier transform has been the algorithm of choice, but other distributions are attractive if improved combinations of execution speed, resolution, and cross-term resistance can be found. The authors have evaluated several popular energy distributions in terms of these attributes, finding each to have desirable features, but none uniquely preferable. As yet untreated are the various linear algorithms, which show promise for improved performance.<>