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Coherent Integration Algorithm for a Maneuvering Target With High-Order Range Migration

机译:高阶距离偏移的机动目标相干积分算法

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This paper considers the coherent integration problem for a maneuvering target with complex motions, where the velocity, acceleration, and jerk result in respectively the first-order range migration (FRM), second-order range migration (SRM), and third-order range migration (TRM) within the coherent pulse interval. A new coherent integration algorithm based on generalized keystone transform (KT) and second-order dechirp process is proposed, which employs the third-order KT, six-order KT, second-order KT, and fold factor searching to correct the TRM, SRM, and FRM, respectively. The range migration change during each step and computational complexity are also theoretically analyzed. Compared with the generalized Radon Fourier transform (GRFT) algorithm, the presented method can avoid the blind speed sidelobe (BSSL) and acquire close integration performance but with much lower computational cost. Simulations are provided to demonstrate the effectiveness. Finally, a generalized method, named generalized KT and generalized dechirp process (GKTGDP), is also introduced for the maneuvering target with arbitrary high-order range migration.
机译:本文考虑了具有复杂运动的机动目标的相干积分问题,其中速度,加速度和冲击力分别导致一阶范围偏移(FRM),二阶范围偏移(SRM)和三阶范围相干脉冲间隔内的迁移(TRM)。提出了一种基于广义梯形失真(KT)和二阶去chirp过程的相干集成算法,该算法利用三阶KT,六阶KT,二阶KT和折叠因子搜索来校正TRM,SRM ,和FRM分别。理论上还分析了每个步骤中的距离迁移变化和计算复杂性。与广义拉顿傅立叶变换(GRFT)算法相比,该方法可以避免盲速旁瓣(BSSL)并获得紧密的集成性能,但计算成本却低得多。提供仿真以证明有效性。最后,针对任意高阶距离偏移的机动目标,引入了一种广义方法,即广义KT和广义去chirp过程(GKTGDP)。

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