通信学报 ›› 2023, Vol. 44 ›› Issue (2): 41-51.doi: 10.11959/j.issn.1000-436x.2023037

• 学术论文 • 上一篇    下一篇

频控阵MIMO雷达的目标数与方位参数联合估计方法

孙贺麟1, 高洪元1, 杜亚男1, 程建华2, 刘亚鹏1   

  1. 1 哈尔滨工程大学信息与通信工程学院,黑龙江 哈尔滨 150001
    2 哈尔滨工程大学智能科学与工程学院,黑龙江 哈尔滨 150001
  • 修回日期:2022-11-28 出版日期:2023-02-25 发布日期:2023-02-01
  • 作者简介:孙贺麟(1999− ),男,吉林省吉林市人,哈尔滨工程大学博士生,主要研究方向为阵列与统计信号处理
    高洪元(1977− ),男,黑龙江木兰人,博士,哈尔滨工程大学副教授、博士生导师,主要研究方向为信号处理、无线通信与网络和人工智能理论及其应用等
    杜亚男(1992− ),女,黑龙江讷河人,哈尔滨工程大学博士生,主要研究方向为信号处理和群体智能
    程建华(1977− ),男,黑龙江哈尔滨人,博士,哈尔滨工程大学教授、博士生导师,主要研究方向为惯性导航系统、卫星导航和组合导航
    刘亚鹏(1999- ),男,河北邯郸人,哈尔滨工程大学硕士生,主要研究方向为阵列信号处理和智能计算及应用
  • 基金资助:
    国家自然科学基金资助项目(62073093);黑龙江省自然科学基金资助项目(LH2020F017);黑龙江省博士后科研启动金资助项目(LBH-Q19098)

Joint estimation method of target number and orientation parameters for FDA-MIMO radar

Helin SUN1, Hongyuan GAO1, Yanan DU1, Jianhua CHENG2, Yapeng LIU1   

  1. 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
    2 College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
  • Revised:2022-11-28 Online:2023-02-25 Published:2023-02-01
  • Supported by:
    The National Natural Science Foundation of China(62073093);The Natural Science Foundation of Heilongjiang Province(LH2020F017);The Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province(LBH-Q19098)

摘要:

针对频控阵MIMO雷达定位多个目标时,需要目标数先验信息,且多维参数估计计算量大的问题,提出了一种联合估计方法。该方法利用频控阵MIMO的角度与距离依赖性,将目标数与方位参数估计转化为空间谱上的多峰优化问题;设计了一种基于密度的多峰差分进化算法对其进行求解,降低了计算量且不需要单独的目标数估计算法。仿真结果表明,所提方法的目标数和方位参数估计性能均优于已有方法,突破了已有方位参数估计方法的应用局限,可以无量化误差地得到最优方位估计结果。

关键词: 频控阵, 联合检测估计, 信源个数估计, 角度估计, 距离估计

Abstract:

To address the problem that the frequency diverse array MIMO (FDA-MIMO) radar requires a priori information on the target number when locating multiple targets and the multidimensional parameter estimation consumes a large amount of computation, a joint estimation method was proposed.The angle and distance dependence of the FDA-MIMO were utilized to transform the estimation of target number and orientation parameters into a multimodal optimization problem on the spatial spectrum, and a density-based multimodal differential evolution algorithm was designed to solve it, which reduced the computational load and did not require a separate target number estimation algorithm.Simulation results show that the proposed method outperformed the existing methods in estimating the target number and orientation parameters.It overcomes the application limitations of the existing orientation parameter estimation methods and can obtain optimal estimation results without quantization error.

Key words: frequency diverse array, joint detection and estimation, source number estimation, angle estimation, range estimation

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