系统工程与电子技术 ›› 2018, Vol. 40 ›› Issue (3): 533-537.doi: 10.3969/j.issn.1001-506X.2018.03.07

• 传感器与信号处理 • 上一篇    下一篇

基于知识辅助的天波雷达海杂波抑制方法

曹健, 王兆祎, 胡进峰, 何子述   

  1. 电子科技大学电子工程学院, 四川 成都 611731
  • 出版日期:2018-02-26 发布日期:2018-02-24

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

摘要:

针对天波雷达海杂波难以抑制且现有方法未充分利用先验知识的问题,提出基于知识的天波雷达海杂波抑制方法。所提方法利用脉冲重复周期、雷达工作频率、海平面风向、风速作为先验知识,结合海杂波谱模型及提出的基于知识的海杂波协方差矩阵估计方法,构造出基于知识的天波雷达海杂波协方差矩阵,将该矩阵加入最优滤波器设计中,得到基于知识辅助的天波雷达海杂波抑制方法。仿真结果表明,与现有方法相比,所提方法的海杂波抑制效果可提升3 dB以上。

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.