系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (8): 2506-2514.doi: 10.12305/j.issn.1001-506X.2022.08.15

• 传感器与信号处理 • 上一篇    下一篇

基于空时约束的自适应迭代单脉冲估计方法

熊元燚*, 谢文冲   

  1. 空军预警学院雷达兵器运用工程军队重点实验室, 湖北 武汉 430019
  • 收稿日期:2021-05-25 出版日期:2022-08-01 发布日期:2022-08-24
  • 通讯作者: 熊元燚
  • 作者简介:熊元燚 (1990—), 男, 讲师, 博士, 主要研究方向为机载雷达信号处理与空时自适应信号处理|谢文冲 (1978—), 男, 教授, 博士, 主要研究方向为机载雷达信号处理、空时自适应信号处理和雷达系统
  • 基金资助:
    国防科技卓越青年科学基金(2019-JCJQ-ZQ-006)

Adaptive iterative monopulse estimation method based on space-time constraint

Yuanyi XIONG*, Wenchong XIE   

  1. Radar Weapon Application Engineering Military Key Research Laboratory, Wuhan Radar Academy, Wuhan 430019, China
  • Received:2021-05-25 Online:2022-08-01 Published:2022-08-24
  • Contact: Yuanyi XIONG

摘要:

在机载雷达参数估计过程中, 在主瓣杂波区附近自适应和差波束会发生畸变, 角度和多普勒频率参数估计之间存在耦合, 导致传统和差单脉冲估计方法的参数估计性能严重下降。针对此问题,提出了一种基于空时约束的机载雷达自适应迭代单脉冲估计方法。该方法首先通过导数约束和零点约束确保所形成的差波束为最优差波束; 其次利用广义单脉冲法进行参数估计, 解决了多参数估计之间存在的相互耦合问题; 最后通过自适应迭代方式进一步提高目标参数的估计精度。计算机仿真结果验证了所提方法的有效性。

关键词: 机载雷达, 参数估计, 广义单脉冲, 空时约束, 自适应迭代

Abstract:

In the process of airborne radar parameters estimation, the adaptive sum and the difference beam can be distorted near the main lobe clutter region, and there is a coupling between the angle and Doppler frequency parameter estimated, which leads to severe degradation of the parameters estimation performance of the traditional sum and difference pulse estimation method. This paper proposes an adaptive iterative monopulse estimation method for airborne radar based on space-time constraints. This method firstly uses derivative constraints and zero point constraints to ensure that the formed difference beam is the optimal difference beam. Secondly, the generalized single pulse method is used to estimate the parameters, which solves the mutual coupling problem between multi-parameter estimation. Finally, it adopts an adaptive iterative method, which further improves the estimation accuracy of target parameters. The computer simulation results verify the effectiveness of the proposed method.

Key words: airborne radar, parameter estimation, generalized monopulse, space-time constraint, adaptive

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