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      Micro-motion Parameter Estimation in Non-Gaussian Noise via Mutual Correntropy

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          Abstract

          This study considered parameter estimations for micro-motion targets embedded in non-Gaussian noise with a Single Input Multiple Output (SIMO) radar. A novel estimation algorithm based on mutual correntropy was presented and used to derive the micro-perturbation parameters by exploiting the second and higher-order knowledge of the return signals among multiple channels. Compared with a conventional Fourier Transform (FT) method, the method proposed herein had a much higher Signal to Noise Ratio (SNR) gain. In addition, the location was derived by employing the Phase-Comparison Monopulse (PCM) technique. Finally, several numerical results were provided and discussed.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 June 2017
          : 6
          : 3
          : 300-308
          Affiliations
          [1 ] (School of Electronics Engineering, University of Electronic Science and Technology, Chengdu 611731, China)
          Article
          aafc7589e8574431838239816f8bfcbb
          10.12000/JR17007

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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