Translation Compensation and Resolution of Multi-ballistic Targets in Midcourse
-
摘要: 弹道微动群目标时频图是多目标多散射点微多普勒的叠加,以往针对单目标的补偿与分离方法不再适用。针对这一问题,该文首先分析了群目标及诱饵的微多普勒形式;利用弹道中段目标运动平稳,短时观测加速度近似为常数的特性,采用Radon变换检测微多普勒曲线的倾斜程度,用最小熵准则和高斯函数拟合的方法估计平动参数,进而完成平动补偿;对补偿后的群目标时频图利用Viterbi算法提取各条微多普勒曲线,依据同一目标各散射点微多普勒的周期相关性,完成群目标分离;最后仿真验证了以上方法的有效性。Abstract: Time-frequency image of multi-ballistic targets is composed of micro-Doppler of multi-targets with multi-scattering centers, which makes the methods for single target invalid. Firstly, micro-Doppler of precessing missile and swinging decoy is analyzed. Considering midcourse ballistic targets characteristics that the motion is stable and the acceleration is approximately a constant in short time, Radon transform is applied to the detection of linear degree of the micro-Doppler, then motional parameters are estimated based on minimum entropy criteria and Gauss fitting. After compensating translation, Viterbi algorithm is used to extract micro-Doppler from the time-frequency image, with which multi-targets can be resolved according to the principle that scattering centers on one target are with the same micro-Doppler cycles, but those on different targets are not. Finally, Simulations verify the effectiveness of the proposed method.
期刊类型引用(5)
1. 刘继忠,郑恩涛,贺艳涛,付珊珊,赵鹏. 一种分块图像的BP压缩感知重构算法. 新疆大学学报(自然科学版). 2018(03): 340-347 . 百度学术
2. 葛永新,林梦然,洪明坚. 联合局部和全局稀疏表示的磁共振图像重建方法. 重庆大学学报. 2017(01): 93-102 . 百度学术
3. 赵扬,汤敏. 基于不同全变差的医学图像压缩感知重构. 计算机工程与设计. 2017(09): 2443-2450+2463 . 百度学术
4. 王锋,孙桂玲,张健平,何静飞. 基于压缩感知的加速前向后向匹配追踪算法. 电子与信息学报. 2016(10): 2538-2545 . 本站查看
5. 温海滨,毕笃彦,马时平,何林远. 消除阶梯效应与增强细节的变分Retinex红外图像增强算法. 光学学报. 2016(09): 130-139 . 百度学术
其他类型引用(14)
-
计量
- 文章访问数: 1545
- HTML全文浏览量: 196
- PDF下载量: 535
- 被引次数: 19