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贝叶斯推理运动轨迹相干累积的动目标检测方法

杨文彬1,王悦斌1,李旦1,张建秋2   

  1. 1. 复旦大学
    2. (1. 复旦大学电子工程系
  • 收稿日期:2021-12-16 修回日期:2022-03-25 出版日期:2022-03-30 发布日期:2022-03-30
  • 通讯作者: 李旦
  • 基金资助:
    跨尺度高分辨率的多模态超声骨成像方法及仪器研制

A Moving Target Detector with the Coherent Integration of Bayesian Inferred Motion Trajectories

  • Received:2021-12-16 Revised:2022-03-25 Online:2022-03-30 Published:2022-03-30

摘要: 雷达理论和实践都表明:相干累积是机动目标探测行之有效的方法。不幸的是,其性能会因脉冲回波处理间隔内未知距离和/或多普勒的徒动而大为降低。为解决这个问题,本文提出了一种贝叶斯推理运动轨迹相干累积的动目标检测方法。分析表明:通过对脉冲压缩回波信号的距离频率进行翻转,那么就可从未翻转与翻转后的回波信号相乘的傅里叶逆变换中,提取出慢时间维描述待探测多目标运动轨迹的时频信号;视该时频信号中描述各目标运动轨迹的相位为状态变量,获得的慢时间维时频信号为观测,就建立起了多目标运动轨迹的状态空间模型。这样,据贝叶斯滤波推理出的各目标运动轨迹估计,就可构建出快-慢时间维联合的二维匹配滤波器,以补偿目标高速/机动运动带来的未知距离和/或多普勒徒动,进而为实现动目标的高能量集中度相干累积探测提供了新方法。相比于文献报道的方法,本文提出方法无需进行多维搜索,且可应用于具有未知复杂运动形式的高速/机动目标。数值的仿真探测在验证分析结果有效性的同时,也表明本文提出方法呈现出了优于文献报道方法的性能。

关键词: 脉冲多普勒雷达, 贝叶斯推理, 检测聚焦, 匹配滤波, 距离徒动, 多普勒徒动

Abstract: It has been understood from both radar theory and practice that the coherent integration is an effective method for moving target de-tection. Unfortunately, its performance is seriously damaged by the unknown range and/or Doppler frequency migrations in a coherent processing interval. To handle such a problem, a moving target detector with the coherent integration of Bayesian inferred motion trajectories is proposed in this paper. The analyses show that by flipping the range-frequency of the pulse compressed echo signal, the time-frequency signal describing the motion trajectories of the detected targets in the slow-time domain is got by the inverse Fourier transform of the product of the original echo signal and the flipped one. When the time-frequency signal is taken as the observation and its phases describing the detected moving target trajectories are regarded as the state variables, a state space model for infer-ring the motion trajectories of multiple targets is given. Based on the inferred target trajectories, the range-frequency-slow-time 2D matched filters used to compensate the unknown range and/or Doppler frequency migrations in an echo signal are constructed. As a result, it provides a new method for coherent integration detection of moving targets with high-energy concentration. Compared with the methods reported in the literature, the proposed one does not require any multi-dimensional search and can be applied to high speed/maneuvering targets with unknown complex motion form. Numerical simulation results verify the effectiveness of the analytical results and the superior performance of the proposed method.

Key words: pulse-Doppler radar, Bayesian inference, detection focus, matched filter, range migration, Doppler frequency migration

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