电子学报 ›› 2018, Vol. 46 ›› Issue (6): 1496-1502.DOI: 10.3969/j.issn.0372-2112.2018.06.032

• 学术论文 • 上一篇    下一篇

基于频率轴反转的机动目标距离徙动补偿方法

贺雄鹏, 廖桂生, 许京伟, 魏嘉琪   

  1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西西安 710071
  • 收稿日期:2017-02-20 修回日期:2017-04-18 出版日期:2018-06-25
    • 作者简介:
    • 贺雄鹏,男,1992年11月生于陕西榆林,博士研究生,主要研究方向为运动目标检测与参数估计、阵列信号处理和天基预警.E-mail:xidian_hexp@163.com;廖桂生,男,1963年6月生于广西桂林.现为西安电子科技大学雷达信号处理国家重点实验室教授,博士生导师,国家杰出青年基金获得者,长江学者特聘教授.先后主持和承担国防973项目课题、国家"863"高新技术项目、国防科技预研、国家自然科学基金重点基金等十余项科研任务.现主要从事雷达探测系统信号处理,包括空时自适应处理、天基预警和阵列信号处理等研究领域.E-mail:gsliao@xidian.edu.cn;许京伟,男,1987年5月生于山东日照.现为西安电子科技大学雷达信号处理国家重点实验室博士后,主要研究方向为空时自适应处理,频率分集阵列信号处理等.E-mail:xujingwei1987@163.com;魏嘉琪,女,1994年8月生于陕西西安,博士研究生,主要研究方向为ISAR成像和目标识别.E-mail:2638223737@qq.com
    • 基金资助:
    • 国家自然科学基金 (No.61231017,No.61601339); 中国博士后科学基金 (No.2016M590925)

Range Migration Compensation Method for Maneuvering Target Based on Frequency Axis Reversal

HE Xiong-peng, LIAO Gui-sheng, XU Jing-wei, WEI Jia-qi   

  1. National Key Lab of Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China
  • Received:2017-02-20 Revised:2017-04-18 Online:2018-06-25 Published:2018-06-25

摘要: 机动目标在长时间积累时间内发生严重的距离徙动与多普勒徙动,影响雷达对目标的检测性能.针对该问题,该文提出一种基于频率轴反转变换与广义自相关变换的机动目标检测与高阶运动参数估计快速算法.首先在距离频域利用频率轴反转变换校正距离徙动,信号变为立方相位信号;然后利用广义自相关变换与广义变尺度傅里叶变换实现信号降阶与参数非搜索估计;最后利用估计参数对原始信号解调频,并完成目标能量的积累.与现有的Keystone,广义Radon-Fourier变换,Radon-吕分布和Radon-分数阶傅里叶变换相比,本文方法可以快速校正距离徙动,实现非搜索的目标参数估计,达到低计算复杂度与检测性能的折中.仿真实验表明,该方法可有效完成机动目标的检测与参数估计.

关键词: 机动目标检测, 运动参数估计, 立方相位信号, 频率轴反转变换

Abstract: The integration and detection performance for the maneuvering targets may slide down due to the defocusing effects of the range migration and the Doppler frequency migration in the long integration time.To address these issues,we propose a fast non-searching method based on frequency axis reversal and generalized autocorrelation function.In this algorithm,the frequency axis reversal transform is applied to correct the range migration in the range frequency domain.Then the received signal becomes cubic phase signal and both generalized autocorrelation function and generalized scaled Fourier transform (GSCFT) are applied to finish the signal reduction and the estimation of the moving target.Finally,estimated parameters are employed to dechirp the echo and the target is well focused in the range-Doppler domain.Compared with the existing methods such as Keystone,GRFT (Generalized Radon Fourier Transform),RLVD (Radon-Lv's Distribution) and RFRFT (Radon Fractional Fourier Transform),the presented algorithm can fast eliminate the range migration and obtain the motion parameters without any searching procedure and can achieve a good balance between the computational cost and the detection ability.Several simulation experiments are provided to demonstrate the effectiveness of the proposed algorithm.

Key words: maneuvering target detection, motion parameters estimation, cubic phase signal, frequency axis reversal transform

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