基于ISAR像序列的锥体目标进动及结构参数估计
doi: 10.11999/JEIT141061
Precession and Structure Parameters Estimation of Precession Cone Target Based on ISAR Image Sequence
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摘要: 弹道目标进动及结构参数的提取是弹道导弹目标识别的关键。该文提出一种基于逆合成孔径雷达(ISAR)像序列实现锥体目标进动及结构参数估计的方法。基于电磁仿真数据及锥体目标的微动特性,忽略旋转对称锥体目标的自旋运动,采用距离-瞬时多普勒算法生成目标的ISAR像序列,之后采用CLEAN算法将ISAR像序列中的强散射源坐标信息提取出来;推导了锥体滑动型强散射源在成像平面上的投影轨迹公式,该公式可为进动锥体目标成像特性模拟及参数估计提供数学参考。分析观察视角对锥体目标ISAR像可观测强散射源的影响,给出了估计进动及结构参数的具体方法;最后仿真验证了成像算法及投影轨迹公式的正确性,并依据提取的坐标信息估计目标的进动及结构参数信息。Abstract: The extraction of the procession and structure parameters for ballistic targets is a critical point for success of the ballistic target identification. This paper proposes a method to deduct the procession and structure parameters of a cone target based on the Inverse Synthetic Aperture Radar (ISAR) sequences. The time-frequency ISARs of the symmetrical cone target are simulated by the range-instantaneous Doppler algorithm, which is based on the electromagnetic simulation data and micro-motion characteristics of the cone target, and the spin motion of the rotational symmetry cone target is ignored. The location information of strong scattering sources is extracted by the CLEAN algorithm besides; the formula of the projection of the slip-type strong scattering sources on the imaging plane is deduced, which can provide mathematics reference for the imaging simulation and parameter estimation of the precession cone target. The strong scattering sources affected by viewing angle is analyzed and the method of inversion of the procession and structure parameters is given. Finally, the simulation result shows that the imaging algorithm and the formula of the projection of the slip-type strong scattering sources on the imaging plane are correct, the procession and structure parameters are inverted by the location information of the strong scattering sources obtained.
期刊类型引用(12)
1. 赵锋,徐志明,刘蕾,艾小锋. 弹道目标特征提取研究现状与展望. 信息对抗技术. 2022(03): 15-32 . 百度学术
2. 韩立珣,田波,冯存前. 基于MIMO-ISAR的弹道目标结构参数估计方法. 系统工程与电子技术. 2020(03): 603-612 . 百度学术
3. 苏楠,戴奉周,刘宏伟. 基于HRRP序列的钝头倒角锥目标微动特性分析及参数估计. 电子与信息学报. 2019(07): 1751-1757 . 本站查看
4. 任枫轩,王忠勇. 基于ISAR像序列的多旋翼无人机参数估算. 电光与控制. 2018(04): 55-60 . 百度学术
5. 王超,叶春茂,文树梁. 低重频宽带雷达中小幅微动目标的周期估计. 系统工程与电子技术. 2018(09): 1945-1952 . 百度学术
6. 周叶剑,张磊,菅毛,王虹现,邢孟道. 多频调频稀疏分解的微动目标参数估计方法. 电子与信息学报. 2017(10): 2360-2365 . 本站查看
7. 徐少坤,刘记红,袁翔宇. 基于HRRP序列的中段目标二维几何特征反演方法. 电子与信息学报. 2017(10): 2366-2373 . 本站查看
8. 束长勇,张生俊,黄沛霖,姬金祖. 基于微多普勒估计进动锥体目标特征参数. 系统工程与电子技术. 2017(01): 15-20 . 百度学术
9. 陈蓉,冯存前,贺思三,饶驿. 采用ISAR像估计弹道目标微动特征的方法. 系统工程与电子技术. 2017(07): 1500-1505 . 百度学术
10. 叶桃杉,黄沛霖,束长勇,王英,彭尧坤. 进动锥体目标散射特性仿真及实验分析. 北京航空航天大学学报. 2016(03): 588-595 . 百度学术
11. 王英,束长勇,张生俊,黄沛霖,姬金祖. 快慢时间域间歇采样转发干扰生成进动锥体ISAR群阵列. 电子与信息学报. 2016(02): 450-454 . 本站查看
12. 贺思三,赵会宁,张永顺. 弹道中段进动目标高精度平动补偿方法. 电子与信息学报. 2016(08): 1962-1968 . 本站查看
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