基于序列优化的认知雷达稳健旁瓣抑制方法

金松坡; 庄珊娜

doi:10.11999/JEIT181091

基于序列优化的认知雷达稳健旁瓣抑制方法

doi: 10.11999/JEIT181091

金松坡^1, ,,
庄珊娜²

1.
中国电子科技集团公司第五十四研究所石家庄 050081
2.
石家庄铁道大学信息科学与技术学院石家庄 050043

详细信息

作者简介:
金松坡：男，1984年生，高级工程师，研究方向为自适应雷达信号处理

庄珊娜：女，1985年生，副教授，研究方向为认知雷达波形优化设计及信号处理

通讯作者:
金松坡　jinsp3217@126.com

中图分类号: TN957.51
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- 被引次数: 0
出版历程
- 收稿日期: 2018-11-26
- 修回日期: 2019-04-11
- 网络出版日期: 2019-04-25
- 刊出日期: 2019-09-10

Robust Sidelobe Suppression Method for Cognitive Radar Based on Sequential Optimization

Songpo JIN^{1
, ,},
Shanna ZHUANG²

1.
The 54th Research Institute of CETC, Shijiazhuang 050081, China
2.
School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China

摘要

摘要: 距离旁瓣可能导致强目标掩盖弱目标以及大量虚假目标的出现，针对认知雷达旁瓣抑制问题，该文提出一种基于序列优化的方法。首先，将待测区域按距离单元进行划分，之后，基于最小均方误差准则，针对某距离单元进行发射-接收联合优化，所优化结果用于该距离单元散射点雷达截面积(RCS)的估计。上述过程在场景内各距离单元序贯进行，并将已获估计值用于后续距离单元距离旁瓣的抑制，各散射点RCS值依次以递归方式获得，并循环更新。所提方法构建了一个闭环系统，根据实时反馈的场景信息调整收发系统，提高雷达对环境的感知能力，从而改善旁瓣抑制性能，提高抗噪声稳健性。仿真结果验证了所提方法的有效性。
- 认知雷达 /
- 旁瓣抑制 /
- 稳健 /
- 序列优化
Abstract: Range sidelobes may lead to weak targets masked by strong targets and false alarm. This paper proposes a sequential optimization method for the sidelobe suppression of cognitive radar. First, the region to detect is divided according to range cell. Second, the transmit waveform and receive filter are optimized jointly based on the principle of minimum mean square error against one range cell. The optimized transmit and receive systems are used in Radar Cross Section (RCS) estimation for the scatter in the current range cell. The above process is carried out in each range cell in the scene sequentially. The acquired RCS estimate is used in the sidelobe suprresion for the following range cells. The RCS estimation for all the range cells in the scene is obtained in a bootstrapping way successively and updated circularly. The proposed method forms a closed loop detection system. The transmitting and receiving systems are adjusted according to the feedback scene information in real time. The sensing ability about the environment can be enhanced. The detection performance and robustness against noise can be improved. The efficiency and validity are verified by the simulation results.
- Cognitive radar /
- Sidelobe suppression /
- Robust /
- Sequential optimization

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图 1 基于SO检测法流程图

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图 2 SR-71侦察机1维高分辨距离像

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图 3 $\sigma _{\rm{N}}^2 = 1$时，3种方法检测结果比较

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图 4 3种方法MSE随迭代次数的变化曲线

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图 5 $\sigma _{\rm{N}}^2 = 10$时，3种方法检测结果比较

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图 6 在不同噪声功率下3种方法的MSE比较

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