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Efficient maneuvering target detection method based on time reversal transform and scaled nonuniform fast Fourier transform

机译:基于时间逆转变换的高效机动目标检测方法和缩放不均匀傅立叶变换

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摘要

We consider the coherent detection problem for maneuvering targets with jerk motion. The range migration and Doppler frequency migration are addressed within the coherent interval. An efficient coherent integration method based on time reversal transform (TRT) and scaled nonuniform fast Fourier transform (SNuFFT) is proposed. First, the effects of velocity and jerk are eliminated by multiplying the signals before and after TRT operation. Then, the SNuFFT is newly defined to achieve coherent integration. In comparison with several existing methods, the proposed method has much lower computational complexity by employing fast Fourier transform and nonuniform fast Fourier transform, which guarantees the real-time processing. Simulations and real data processing results validate the effectiveness of the proposed method. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:我们考虑用混蛋运动操纵目标的相干检测问题。 范围迁移和多普勒频率迁移在连贯间隔内寻址。 提出了一种基于时间反转变换(TRT)和缩放的非均匀傅立叶变换(鼻烟)的高效相结合方法。 首先,通过将信号乘以TRT操作之前和之后的信号来消除速度和混血的影响。 然后,新定义鼻烟以实现连贯的集成。 与若干现有方法相比,所提出的方法通过采用快速傅里叶变换和不均匀的快速傅里叶变换来具有更低的计算复杂性,这保证了实时处理。 仿真和实际数据处理结果验证了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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