现代防御技术 ›› 2020, Vol. 48 ›› Issue (2): 60-68.doi: 10.3969/j.issn.1009-086x.2020.02.011

• 探测跟踪技术 • 上一篇    下一篇

变加速运动目标的相参积累算法

辛婷婷, 王国宏, 张亮, 张翔宇   

  1. 海军航空大学 信息融合研究所,山东 烟台 264001
  • 收稿日期:2019-07-18 修回日期:2019-10-15 出版日期:2020-04-20 发布日期:2021-01-20
  • 作者简介:辛婷婷(1994-)女,山东潍坊人。硕士生,主要研究方向为雷达目标检测技术。通信地址:264001 山东省烟台市芝罘区二马路188号研一队 E-mail:1037057238@qq.com
  • 基金资助:
    国家自然科学基金(61731023,61701519,61671462);“泰山学者”攀登计划专项经费资助项目

Coherent Integration Algorithm for Moving Targets with Variable Acceleration

XIN Ting-ting, WANG Guo-hong, ZHANG Liang, ZHANG Xiang-yu   

  1. Naval Aviation University,Institute of Information Fusion,Shandong Yantai 264001,China
  • Received:2019-07-18 Revised:2019-10-15 Online:2020-04-20 Published:2021-01-20

摘要: 针对高速机动目标发生多种距离走动和多种多普勒走动现象而无法实现能量有效积累问题,提出了一种不需要进行参数搜索的变加速运动目标的相参积累算法。首先,对频域脉压回波信号进行慢时间序列翻转变换,并与频域脉压回波信号相乘,可以同时校正速度引起的线性距离走动、加加速度引起的三阶距离走动和加加速度引起的多普勒弯曲。其次,采用二阶keystone变换的方法对加速度引起的距离弯曲进行校正。最后,将慢时间维信号看做线性调频信号,利用双正交傅里叶变换估计调频斜率来实现相参积累。通过仿真证明,该方法能够有效实现积累,能够实现多目标检测,相比其他算法具有优越性。

关键词: 距离走动, 多普勒走动, 慢时间序列翻转, 二阶keystone变换, 双正交傅里叶变换, 相参积累

Abstract: In order to solve the problem that energy accumulation cannot be realized effectively due to several kinds of range migration and Doppler migration of high-speed maneuvering target,a coherent accumulation algorithm for moving target with variable acceleration was proposed,which did not need to search parameters. Firstly, made a sequence reversing transform along the slow time of pulse compression echo signal in frequency domain and multiplied them with ones untransformed,which could simultaneously correct linear range migration caused by velocity, third-order range migration and Doppler bending caused by acceleration. Secondly, the second-order keystone transform was used to correct the range bending caused by acceleration.Finally, the slow time signal was regarded as a linear frequency modulation signal, and the coherent accumulation was realized with the biothogonal Fourier transform to estimate the chirp rate. The simulation result proves that this method can effectively realize accumulation and multi-target detection, which is superior than other algorithms.

Key words: range migration, Doppler migration, slow time sequence reversing, second-order keystone transform, biothogonal Fourier transform, coherent accumulation

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