This paper considers the coherent integration problem for a low-observable maneuvering target, where the velocity and acceleration result in range migration (RM) and Doppler frequency migration (DFM) within the coherent pulse interval. A novel method based on the frequency spectrum segment processing (FSSP) and the segmental Lv’s distribution (SLVD) is proposed to realize the long-time coherent integration for multiple maneuvering targets. In this method, FSSP is proposed to eliminate the RM effect by dividing the received signal into several subband signals and expanding the range resolution of the subband signals. Then SLVD is applied to achieve the coherent integration of the subband signals and accumulate the energy of all the subband signals coherently. The proposed method can realize the coherent integration for multiple maneuvering targets without any prior knowledge of the targets’ motion. The simulation and experimental results demonstrate the effectiveness of the proposed algorithm.

中文翻译：

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基于频谱段处理的机动目标相干积分算法

本文考虑了低可观测机动目标的相干积分问题，其中速度和加速度导致相干脉冲间隔内的距离偏移（RM）和多普勒频率偏移（DFM）。提出了一种基于频谱分段处理(FSSP)和分段Lv分布(SLVD)的新方法来实现多机动目标的长时间相干积分。在该方法中，FSSP 被提出通过将接收到的信号分成几个子带信号并扩展子带信号的距离分辨率来消除 RM 效应。然后应用SLVD实现子带信号的相干积分，并将所有子带信号的能量相干累加。所提出的方法可以实现对多个机动目标的相干集成，而无需任何目标运动的先验知识。仿真和实验结果证明了该算法的有效性。