基于相位信息的微动目标特征提取方法
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摘要
基于窄带脉冲式雷达,首先对旋翼微动目标进行了回波建模,从理论上给出了基于相位信息的微动特征提取方法的可行性,并利用相位解缠原理对回波的相位模糊进行解缠,得到真实相位.然后对基于相位信息的微动目标特征提取方法的抗噪性能、估计精度以及方位欠采样条件下的性能进行分析;讨论了在不同信噪比条件下,该方法对目标转速和旋转半径提取的性能,并指出该方法在高方位欠采样条件下依然可以有效提取目标转速信息.最后进行仿真,验证了该方法的有效性和可行性.
Based on the narrow-band pulse radar, this paper firstly establishes a scattering point model of the rotor micro-motion target, and theoretically analyzes the feasibility of extracting the micro-motion target characteristics from the phase of echo. Secondly, the paper employs phase unwrapping algorithm to solve the problem of echo phase ambiguity and obtain the real phase. Thirdly, the paper analyzes the phase-information-based anti-noise performance, the estimation accuracy and the performance in the condition of azimuth under-sampling.And the paper also discusses the performance of using the proposed method to extract the rotational radius and velocity under different SNR conditions, and points out that this method is still in the position to extract rotational velocity in the case of high azimuth under-sampling. Finally, the simulation is done and the results verify the feasibility of the proposed method.
Based on the narrow-band pulse radar, this paper firstly establishes a scattering point model of the rotor micro-motion target, and theoretically analyzes the feasibility of extracting the micro-motion target characteristics from the phase of echo. Secondly, the paper employs phase unwrapping algorithm to solve the problem of echo phase ambiguity and obtain the real phase. Thirdly, the paper analyzes the phase-information-based anti-noise performance, the estimation accuracy and the performance in the condition of azimuth under-sampling.And the paper also discusses the performance of using the proposed method to extract the rotational radius and velocity under different SNR conditions, and points out that this method is still in the position to extract rotational velocity in the case of high azimuth under-sampling. Finally, the simulation is done and the results verify the feasibility of the proposed method.
引文
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[2]庄钊文,刘永祥,黎湘.目标微动特性研究进展[J].电子学报,2007,35(3):520-525.
[3]陈行勇,刘永祥,黎湘,等.微多普勒分析和参数估计[J].红外与毫米波学报,2006,25(5):360-363.
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[5]HUO Kai,LIU Yongxiang,HU Jiemin,et al.A novel imaging method for fast rotating targets based on the segmental pseudo keystone transform[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(4):1464-1472.
[6]ZHANG Qun,YEO Tat-Soon,TAN Hwee-Siang,et al.Imaging of a moving target with rotating parts based on the hough transform[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(1):291-299.
[7]赵彤璐,廖桂生,杨志伟.基于短时迭代自适应-逆Radon变换的微多普勒提取方法[J].电子学报,2016,44(3):505-513.
[8]谭源泉,王厚军,李良超,等.基于旋翼结构微多普勒特征的目标识别方法[J].电波与科学学报,2013,28(1):50-55.
[9]孙慧霞,邱峰,苏世栋.基于一维距离像序列的雷达目标微动参数估计[J].电讯技术,2013,53(4):389-394.
[10]陈永彬,李少东,杨军,等.一种旋翼叶片微动特征提取新方法[J].雷达科学与技术,2017,15(1):13-18.
[11]张群,罗迎.雷达目标微多普勒效应[M].北京:国防工业出版社,2013:47-82.
[12]白雪茹,周峰,邢孟道,等.空中微动旋转目标的二维ISAR成像算法[J].电子学报,2009,37(9):1937-1943.
[13]夏赛强,向龙,毛辉煌,等.两种脉冲压缩实现方式对微动目标回波影响的研究[J].空军预警学院学报,2017,31(6):407-412.
[2]庄钊文,刘永祥,黎湘.目标微动特性研究进展[J].电子学报,2007,35(3):520-525.
[3]陈行勇,刘永祥,黎湘,等.微多普勒分析和参数估计[J].红外与毫米波学报,2006,25(5):360-363.
[4]CHEN V C,LI Fayin,HO Shen-Shyang,et al.Micro-Doppler effect in radar:phenomenon,model,and simulation study[J].IEEE Transactions on Aerospace and Electronics Systems,2006,42(1):2-21.
[5]HUO Kai,LIU Yongxiang,HU Jiemin,et al.A novel imaging method for fast rotating targets based on the segmental pseudo keystone transform[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(4):1464-1472.
[6]ZHANG Qun,YEO Tat-Soon,TAN Hwee-Siang,et al.Imaging of a moving target with rotating parts based on the hough transform[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(1):291-299.
[7]赵彤璐,廖桂生,杨志伟.基于短时迭代自适应-逆Radon变换的微多普勒提取方法[J].电子学报,2016,44(3):505-513.
[8]谭源泉,王厚军,李良超,等.基于旋翼结构微多普勒特征的目标识别方法[J].电波与科学学报,2013,28(1):50-55.
[9]孙慧霞,邱峰,苏世栋.基于一维距离像序列的雷达目标微动参数估计[J].电讯技术,2013,53(4):389-394.
[10]陈永彬,李少东,杨军,等.一种旋翼叶片微动特征提取新方法[J].雷达科学与技术,2017,15(1):13-18.
[11]张群,罗迎.雷达目标微多普勒效应[M].北京:国防工业出版社,2013:47-82.
[12]白雪茹,周峰,邢孟道,等.空中微动旋转目标的二维ISAR成像算法[J].电子学报,2009,37(9):1937-1943.
[13]夏赛强,向龙,毛辉煌,等.两种脉冲压缩实现方式对微动目标回波影响的研究[J].空军预警学院学报,2017,31(6):407-412.