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Fast radar detection method based on two-dimensional trilinear autocorrelation function for maneuvering target with jerk motion
Journal of Applied Remote Sensing ( IF 1.4 ) Pub Date : 2021-05-01 , DOI: 10.1117/1.jrs.15.026508
Zhongying Liang 1 , Yanyan Li 2 , Jinping Niu 2 , Lin Wang 2 , XiaoXuan Chen 2 , Ling Wang 1
Affiliation  

We focus on the range migration (RM) and Doppler frequency migration (DFM) corrections in the long-time coherent integration, and a fast detection method based on two-dimensional trilinear autocorrelation function is proposed for the maneuvering target with jerk motion. This proposed method can integrate the echoes’ energy into peaks in a three-dimensional parameter space coherently and estimate the target’s radial range, acceleration, and jerk simultaneously by the peak detection technique. Then through the estimations of radial range, acceleration, and jerk, the radial velocity can be obtained through one-dimensional parameter searching. Finally, RM and DFM can be compensated simultaneously, and the target can be detected through the constant false alarm technique. This proposed method can strike a good balance between the computational complexity and detection performance. Experiments with the simulation and real measured radar data are conducted to verify the proposed method.

中文翻译:

基于二维三线性自相关函数的急速运动目标快速雷达检测方法

针对长期相干积分中的距离偏移(RM)和多普勒频率偏移(DFM)校正问题,提出了一种基于二维三线性自相关函数的急动运动目标快速检测方法。所提出的方法可以将回波的能量连贯地整合到三维参数空间中的峰值中,并通过峰值检测技术同时估计目标的径向范围,加速度和加速度。然后,通过估计径向范围,加速度和加速度,可以通过一维参数搜索获得径向速度。最后,RM和DFM可以同时得到补偿,并且可以通过恒定的误报技术来检测目标。所提出的方法可以在计算复杂度和检测性能之间取得良好的平衡。通过仿真和实测雷达数据进行了实验,以验证所提出的方法。
更新日期:2021-05-03
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