系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (9): 3019-3028.doi: 10.12305/j.issn.1001-506X.2026.09.15

• 传感器与信号处理 • 上一篇    

高速目标长时间积累与参数估计非搜索快速算法

杨宇超(), 程耀(), 方刚()   

  1. 上海航天电子技术研究所,上海 201109
  • 收稿日期:2025-04-14 修回日期:2025-06-01 接受日期:2025-06-11 出版日期:2026-02-08 发布日期:2026-02-08
  • 通讯作者: 方刚 E-mail:849282170@qq.com;514177968@qq.com;mrfanggang@163.com
  • 作者简介:杨宇超(1996—),男,工程师,硕士,主要研究方向为雷达信号处理
    程 耀(1989—),男,高级工程师,硕士,主要研究方向为显控产品架构设计

Fast non-searching algorithm for high-speed target long-time coherent integration and parameters estimation

Yuchao Yang(), Yao Cheng(), Gang Fang()   

  1. Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China
  • Received:2025-04-14 Revised:2025-06-01 Accepted:2025-06-11 Online:2026-02-08 Published:2026-02-08
  • Contact: Gang Fang E-mail:849282170@qq.com;514177968@qq.com;mrfanggang@163.com

摘要:

为解决高速机动目标检测过程中所产生的距离走动与多普勒频率走动问题,基于Keystone变换、Viterbi算法与三阶相位函数,提出一种无参数搜索过程的快速积累算法。首先利用Keystone变换与修正最小熵算法完成一阶距离徙动校正,然后利用Viterbi算法联合三阶相位函数完成高阶运动分量的参数估计,接着通过De-chirp处理完成相位补偿,最后将目标能量在距离−多普勒域完成相参积累。对算法的计算复杂度、检测门限的选取准则给出了定量分析。仿真实验与对比分析表明,所提算法能有效完成不同复杂场景下的目标检测,具备较高的计算效率与较好的噪声鲁棒性。

关键词: 长时间相参积累, 高速目标检测, 修正最小熵算法, Viterbi算法三阶相位函数

Abstract:

This paper considers the problem of high-speed maneuvering target detection, which involves the effect of range migration (RM) and Doppler frequency migration (DFM). Based on Keystone transform (KT) and Viterbi algorithm cubic phase function (VACPF), a non-searching fast algorithm is proposed. First, KT and modified minimum entropy algorithm (MMEA) are utilized to complete first-order range walk correction, then VACPF is applied to accomplish the parameter estimation. The phase of high-order motion components is compensated by de-chirp process. Finally, the coherent integration of target energy is achieved in the range-Doppler domain. A quantitative analysis of the computational complexity and the selection criterion of the detection threshold is provided. Simulation experiments and comparison analysis demonstrate that, the proposed method can effectively complete target detection in different complex scenes, and has high computational efficiency and excellent noise robustness.

Key words: long-time coherent integration, high-speed target detection, modified minimum entropy algorithm (MMEA), Viterbi algorithm cubic phase function (VACPF)

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