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一种改进的基于峰值信噪比-高阶奇异值分解的天波超视距雷达自适应海杂波抑制算法

关泽文 陈建文 鲍拯

关泽文, 陈建文, 鲍拯. 一种改进的基于峰值信噪比-高阶奇异值分解的天波超视距雷达自适应海杂波抑制算法[J]. 电子与信息学报, 2019, 41(7): 1743-1750. doi: 10.11999/JEIT180707
引用本文: 关泽文, 陈建文, 鲍拯. 一种改进的基于峰值信噪比-高阶奇异值分解的天波超视距雷达自适应海杂波抑制算法[J]. 电子与信息学报, 2019, 41(7): 1743-1750. doi: 10.11999/JEIT180707
Zewen GUAN, Jianwen CHEN, Zheng BAO. A Modified Adaptive Sea Clutter Suppression Algorithm Based on PSNR-HOSVD for Skywave OTHR[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1743-1750. doi: 10.11999/JEIT180707
Citation: Zewen GUAN, Jianwen CHEN, Zheng BAO. A Modified Adaptive Sea Clutter Suppression Algorithm Based on PSNR-HOSVD for Skywave OTHR[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1743-1750. doi: 10.11999/JEIT180707

一种改进的基于峰值信噪比-高阶奇异值分解的天波超视距雷达自适应海杂波抑制算法

doi: 10.11999/JEIT180707
基金项目: 国家自然科学基金(61471391)
详细信息
    作者简介:

    关泽文:男,1989年生,博士生,研究方向为天波超视距雷达信号处理研究

    陈建文:男,1964年生,教授,博士生导师,研究方向为天波超视距雷达信号处理、机载预警雷达信号处理、阵列信号处理等研究

    鲍拯:男,1977年生,博士,讲师,研究方向为天波超视距雷达信号处理、阵列信号处理等研究

    通讯作者:

    陈建文 cjwll8217@163.com

  • 中图分类号: TN958.93

A Modified Adaptive Sea Clutter Suppression Algorithm Based on PSNR-HOSVD for Skywave OTHR

Funds: The National Natural Science Foundation of China (61471391)
  • 摘要: 天波超视距雷达(OTHR)舰船目标的检测性能受目标区海杂波的影响严重,准确且自适应的海杂波抑制效能对改善低可探测舰船目标的检测性能意义重大。该文针对基于高阶奇异值分解(HOSVD)的海杂波抑制算法非自适应机制的不足,通过引入峰值信噪比(PSNR),提出一种改进的基于PSNR-HOSVD的自适应算法。该算法仅利用第3等效模式展开矩阵的左奇异向量构造一个投影矩阵,相比于HOSVD算法,该文算法可有效降低计算复杂度,同时由于海杂波仅在第3等效模式展开矩阵的列空间中具有聚集特性,因此该文算法具有比HOSVD算法更好的海杂波抑制性能。实测数据处理结果表明,在电离层状态理想和非理想的情况下,该文PSNR-HOSVD自适应算法的性能均优于EVD自适应算法和HOSVD非自适应算法。
  • 图  1  张量${\cal{\text{Y}}}$和其第3等效模式展开矩阵${{\text{Y}}_{(3)}}$的结构

    图  2  电离层状态理想时实测数据通道3处理前后的距离多普勒谱

    图  3  存在不同输入SCNR的低可探测舰船目标时3种算法的ISCNR

    图  4  通道1处理前的距离多普勒谱

    图  5  各空间分辨单元与目标所在分辨单元的相关系数

    图  6  电离层状态非理想时实测数据通道1处理后的距离多普勒谱

    图  7  电离层状态非理想时舰船目标所在分辨单元处理前后的多普勒谱

    表  1  实验1各舰船目标参数

    序号123456
    距离分辨单元81012243538
    多普勒频率(Hz)–0.55–0.88–0.640.960.720.88
    SCNRin (dB)–11.49–28.31–18.85–24.75–22.44–19.24
    下载: 导出CSV

    表  2  电离层状态理想时3种算法的处理结果中各舰船目标的输出SCNR和ISCNR (dB)

    序号123456均值
    EVD算法SCNRout3.94–4.156.001.77–0.321.761.50
    ISCNR15.4324.1624.8526.5222.1221.0022.35
    HOSVD算法SCNRout8.4313.5412.809.404.8710.439.91
    ISCNR19.9241.8531.6534.1527.3129.6730.76
    PSNR-HOSVD算法SCNRout9.0613.8912.4810.565.668.7210.06
    ISCNR20.5542.2031.3335.3128.1027.9630.91
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-07-16
  • 修回日期:  2019-01-17
  • 网络出版日期:  2019-01-31
  • 刊出日期:  2019-07-01

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