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23 June 1997 Classification of radar clutter using features extracted from the time-frequency domain
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In this paper, we determine the feasibility of radar clutter identification in the timefrequency domain. The goal is to compare the performance oftime-frequency domain clutter recognition with other schemes that rely on the raw backscatter data. The time-frequency clutter features used for classification are extracted using the Wigner distribution of the analytical component of the returned radar signals. This approach is an attractive alternative to other clutter classification schemes because it makes use of the time-dependence of frequency domain signatures or the frequency dependence of time-domain scattering features. The disadvantage, however, is that time-frequency signatures are based on the magnitude squared of the received backscatter signal and are thus characterized by high noise variance. Another clutter classification scheme that relies on the higher order statistical features of radar clutter is presented. The performances of both clutter classification algorithms are compared in scenarios of additive white noise, colored noise, and alpha-stable noise. Keywords: Time-frequency, clutter classification, Wigner-Ville, radar, cumulants.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ismail I. Jouny and C. M. Wu "Classification of radar clutter using features extracted from the time-frequency domain", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997);

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