Abstract
It is very important that radar clutters are distinguished from others exactly when radar working in a complex environment. A new method named square convergence was proposed to classify radar clutter noises. The performance of conventional spectrum estimate algorithms based on second order statistic (SOS) degenerate in stable distribution environment, auto-covariation and auto-covariance methods based on fractional lower order statistics (FLOS) were proposed in this paper. The simulation results showed that the proposed FLOS methods were robust.
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