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首页> 外文期刊>Journal of Applied Remote Sensing >Coarse-to-fine coherent integration method for radar maneuvering target with complex motion
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Coarse-to-fine coherent integration method for radar maneuvering target with complex motion

机译:复杂运动雷达机动目标的粗对细贯积分法

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摘要

In recent years, target detection has drawn increasing attention in the field of radar signal processing. We consider the problem of coherent integration for detecting a highly maneuvering target with complex motion, involving range migration (RM), linear Doppler frequency migration, and quadratic Doppler frequency migration within the coherent interval. Owing to the different sensitivity of the envelope and phase to the target motion, the parametric and nonparametric models are, respectively, established. A coarse-to-fine integration algorithm is correspondingly proposed. Specifically, the keystone transform and fold factor searching are first utilized to remove the parametric RM and to achieve coarse integration. Then, the embedded phase gradient autofocus is applied to estimate the nonparametric nonlinear Doppler phase and realize refined integration. Compared with several representative algorithms, the proposed method could achieve a good trade-off between computational complexity and detection performance. Moreover, this method can be easily extended to detect a high-order maneuvering target. Finally, both simulations and real data experiments are presented to demonstrate the effectiveness of the proposed method. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:近年来,目标检测在雷达信号处理领域越来越受到关注。我们考虑一种通过复杂运动检测高机动目标的连贯集成的问题,涉及相干间隔内的范围迁移(RM),线性多普勒频率迁移和二次多普勒频率迁移。由于包络和阶段与目标运动的不同程度,分别建立了参数和非参数模型。相应地提出了一种粗略的积分算法。具体地,首先利用梯形变换和折叠因子搜索来移除参数RM并实现粗略集成。然后,应用嵌入的相位梯度自动聚焦以估计非参数非线性多普勒相位并实现精制积分。与几种代表性算法相比,所提出的方法可以在计算复杂性和检测性能之间实现良好的权衡。此外,可以容易地扩展该方法以检测高阶机动目标。最后,提出了两种模拟和真实数据实验以证明所提出的方法的有效性。 (c)2019年光学仪表工程师协会(SPIE)

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