Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (3): 533-537.doi: 10.3969/j.issn.1001-506X.2018.03.07

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Knowledge-aided ocean clutter suppression for sky-wave radar

CAO Jian, WANG Zhaoyi, HU Jinfeng, HE Zishu   

  1. School of Electronics Engineering,University of Electronic Science and Technology of China, Chengdu 611731, China
  • Online:2018-02-26 Published:2018-02-24

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Abstract:

Because the ocean clutter is difficult to be suppressed in sky-wave radar and existing methods do not use the prior knowledge effectively, this paper proposes a knowledge-aided ocean clutter suppression method for sky-wave radar. The proposed method uses pulse repetition interval, radar carrier frequency and the direction and speed of wind upon sea level as prior knowledge. Combining the ocean spectrum model, the proposed knowledge-aided ocean clutter covariance estimation method and the prior knowledge, we can get the knowledge-aided ocean clutter covariance matrix. Add this matrix to the optimal filter design and we get the knowledge-aided suppression method for sky-wave radar. The simulation results show that, the proposed method can get 3dB bigger output signal to clutter plus noise rate than existing methods.

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