基于黎曼流形的数字阵雷达波束驻留时间分配
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作者:
作者单位:

1.枣庄学院人工智能学院, 枣庄 277160;2.南京航空航天大学电子信息工程学院, 南京 211106;3.中国电子科技集团公司第十四研究所, 南京 210039

通讯作者:

韩清华,男,博士,讲师,E-mail:hanqinghua123@163.com。

中图分类号:

TN959.1

基金项目:

国家自然科学基金面上基金(61671241)资助项目;雷达成像与微波光子技术教育部重点实验室基金(南京航空航天大学)(NJ20210005)资助项目;枣庄学院‘青檀学者’人才项目经费资助项目;枣庄学院研究专项基金(102061902)资助项目。


Beam Dwell Time Allocation of Digital Array Radar Based on Riemannian Manifolds
Author:
Affiliation:

1.College of Artificial Intelligence, Zaozhuang University, Zaozhuang 277160, China;2.College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China;3.The 14th Research Institute of China Electronics Technology Group Corporation, Nanjing 210039, China

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    摘要:

    针对数字阵列雷达的空域搜索过程,提出了一种基于黎曼流形的波束驻留时间分配算法。为了补偿天线在扫描阵列侧面时,波束展宽造成的波束增益损耗,根据黎曼流行给出uv平面内波束驻留时间的空间分布,在满足指定距离上的单次检测概率和累积检测概率的条件下,实现波束驻留时间在整个空域的优化分配,最小化雷达系统总的搜索时间消耗。仿真结果表明,基于黎曼流行的波束驻留时间分配算法消除了波束扫描角变化导致波束增益变化带来的影响,实现了雷达在不同方向的等威力探测。

    Abstract:

    A beam dwell time allocation algorithm based on Riemannian manifolds is proposed for the spatial search process of digital array radar. In order to compensate for the gain loss resulting from beam broadening as it scans angles of the broadside, the spatial distribution of beam dwell time in uv-plane is given according to Riemannian manifolds. The dwell time is allocated optimally over the whole space and the transmitting power of beam is minimized under the condition that the one detection probability and the cumulative detection probability of the specified range are satisfied. The simulation results show that the beam dwell time allocation algorithm based on Riemannian manifolds eliminates the effect of beam gain variation caused by the change of direction, and realizes the equal power detection in different directions.

    图1 交错波位排布Fig.1 Staggered beam position arrangement
    图2 不同角度对应的波位形状Fig.2 Shape of beam positions at different angles
    图3 各方向波束驻留时间Fig.3 Beam dwell time of each direction
    图4 总搜索时间随着俯仰角的变化Fig.4 Change of total search time with elevation angle
    图5 总搜索时间随着方位角的变化Fig.5 Change of total search time with azimuth angle
    图6 单次检测概率PdFig.6 One-off detection probability Pd
    图7 累积检测概率PcFig.7 Cumulative detection probability Pc
    参考文献
    [1] 张明友. 数字阵列雷达和软件化雷达[M]. 北京:电子工业出版社, 2008: 361-363.
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引用本文

韩清华,潘明海,龙伟军,杨振.基于黎曼流形的数字阵雷达波束驻留时间分配[J].南京航空航天大学学报,2021,53(5):759-765

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  • 收稿日期:2020-04-24
  • 最后修改日期:2020-11-03
  • 在线发布日期: 2021-10-05
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