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Coherent accumulation technology for space target exploration

机译:相干积累技术在空间目标探测中的应用

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In the space target exploration with narrowband radar, targets with high-speed go through several range cells in the observation period which makes it more difficult to get each target's power coherently accumulated for target detection. In addition, for multi-target detection with different velocity, the range migration amount will not be equal. This is another problem for small target detection. In this study, novel multi-target detection with narrowband radar system is proposed. The Keystone transform firstly be used for correcting the range migration in a pulse repetition frequency (PRF). Then the fold factor of the strongest target can be estimated through Sparse Radon transform and compensates the corresponding phase term, following a quadratic phase term be compensated and at last the energy of the strongest target can be accumulated effectively by Fourier transform. The Clean technique is applied to the case of multi-target detection. The proposed algorithm is verified by simulation results.
机译:在窄带雷达的空间目标探测中,高速目标在观察期内经过多个测距单元,这使得更难获得相干积累的每个目标的功率以进行目标检测。另外,对于具有不同速度的多目标检测,距离迁移量将不相等。这是小目标检测的另一个问题。在这项研究中,提出了一种新颖的窄带雷达系统多目标检测方法。首先将梯形失真校正用于校正脉冲重复频率(PRF)中的距离偏移。然后,可以通过稀疏Radon变换估计最强目标的折叠因子,并补偿相应的相位项,然后补偿二次相位项,最后可以通过傅立叶变换有效地积累最强目标的能量。 Clean技术适用于多目标检测的情况。仿真结果验证了该算法的有效性。

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