Frequency Spectrum Estimate Based on FLOS in Various Radar Clutter Noises Environments

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.

• Periodical: Applied Mechanics and Materials (Volumes 716-717)
• Pages: 1021-1025
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.1021
• Online since: December 2014
• Authors: Peng Li*, Hui Cheng Xie, Hai Bin Wang, Jun Bo Long, Dai Feng Zha
• Keywords: Covariation, Fractional Lower Order Covariance, Spectrum Estimation, Stable Distribution

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