Abstract
Of late, Wigner-Ville distribution (WVD)-based time-frequency representation has been shown to become a viable tool in the study of time-varying signals. In this paper, we discuss the implementation details of a WVD-based moving target detector (MTD) on a TMS320C30 floating-point digital signal processor. In this approach, WVD has been employed as a functional block instead of the conventional fast Fourier transform (FFT) processor [1]. A comparison of the implementation and the computational details of MTD based on FFT and WVD has been included. Finally the probability of detection ( P d) and the probability of false alarm ( P fa) curves, in the presence of log-normal clutter, have been presented to support the superiority of the proposed MTD-WVD over MTD-I.
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