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

机译:具有多个动作状态的机动目标的长时间连贯集成

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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:在长时间的相干间隔期间,操纵目标可以具有多个运动状态,这将导致运动参数改变(MPC)。为了纠正MPC效应并实现相干积分,本文提出了一种新的相干积分方法。具体地,首先利用机动目标的运动参数方面的分段功能来构造运动模型。然后,引入参考信号以去除MPC效果。之后,利用GRFT来消除范围细胞迁移(RCM)和多普勒频谱扩展(DSS)效应并实现长时间的相干积分。另外,考虑到大的计算成本,采用时间频率(TF)分析来估计每个状态的加速度和相应运动参数的变化时间。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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