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首页> 外文期刊>Radar, Sonar & Navigation, IET >Three-dimensional interferometric inverse synthetic aperture radar imaging with limited pulses by exploiting joint sparsity
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Three-dimensional interferometric inverse synthetic aperture radar imaging with limited pulses by exploiting joint sparsity

机译：利用联合稀疏度对有限脉冲进行三维干涉逆合成孔径雷达成像

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摘要

For manoeuvring targets, long coherent processing interval observation results in a serious time-varying Doppler modulation that is difficult to achieve high quality three-dimensional (3D) interferometric inverse synthetic aperture radar (InISAR) images. In this study, a novel 3D InISAR imaging algorithm with limited pulses for manoeuvring targets is proposed. First, the authors formulate a joint sparsity-constraint optimisation to reconstruct super-resolution multi-channel inverse synthetic aperture radar images simultaneously. Then, high quality 3D images of the target can be achieved via the conventional interferometry technique. The main advantages of the proposed approach are: (i) by exploiting joint sparsity property of the InISAR multi-channel signals, it can effectively improve the recovery precision of scattering centres of the target; and (ii) it can preserve the cross-channel information, and hence, accurate interferometric phase can be obtained. Both simulated and real data experimental results demonstrate the effectiveness of the proposed algorithm.
机译：对于机动目标，较长的相干处理间隔观察会导致严重的时变多普勒调制，很难获得高质量的三维（3D）干涉式反合成孔径雷达（InISAR）图像。在这项研究中，提出了一种新颖的带有有限脉冲的3D InISAR成像算法，用于操纵目标。首先，作者制定了联合稀疏约束优化，以同时重建超分辨率多通道逆合成孔径雷达图像。然后，可以通过常规干涉测量技术获得目标的高质量3D图像。该方法的主要优点是：（i）通过利用InISAR多通道信号的联合稀疏特性，可以有效提高目标散射中心的恢复精度； （ii）可以保存跨信道信息，因此，可以获得准确的干涉相位。仿真和真实数据实验结果均证明了该算法的有效性。

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