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Long time coherent integration for a maneuvering target with multiple motion states

机译:具有多种运动状态的机动目标的长时间相干集成

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During a long time coherent interval, the maneuvering target may have multiple motion states, which would result in motion parameters change (MPC). In order to correct the MPC effect and achieve the coherent integration, a new coherent integration method is presented in this paper. Specifically, the piecewise function in terms of motion parameters of a maneuvering target is first utilized to construct the motion model. Then, a reference signal is introduced to remove the MPC effect. After that, GRFT is utilized to eliminate the range cell migration (RCM) and Doppler spectrum spread (DSS) effects and achieve the long time coherent integration. Additionally, considering the large computational cost, the time-frequency (TF) analysis is employed to estimate the change time of acceleration and the corresponding motion parameters in each state. Finally, simulation results demonstrate the effectiveness of the presented coherent integration method.
机译:在很长的时间间隔内,机动目标可能会具有多个运动状态,这将导致运动参数发生变化(MPC)。为了校正MPC效应并实现相干积分,提出了一种新的相干积分方法。具体地,首先利用根据机动目标的运动参数的分段函数来构造运动模型。然后,引入参考信号以消除MPC效应。之后,利用GRFT消除了距离细胞迁移(RCM)和多普勒频谱扩展(DSS)的影响,并实现了长时间的相干积分。此外,考虑到较大的计算成本,采用时频(TF)分析来估计每种状态下加速度的变化时间和相应的运动参数。最后,仿真结果证明了所提出的相干积分方法的有效性。

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