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Precision tracking algorithms for ISAR imaging

机译:用于ISAR成像的精确跟踪算法

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The simultaneous imaging and tracking of a moving target is one of the most difficult problems in inverse synthetic aperture radar (ISAR) signal processing. The problem is addressed here using a two-antenna imaging radar. The target range shift is sensed with an exponentially averaged envelope correlation algorithm while the angle change is measured with a differential phase shift algorithm. The three state Kalman filters are used in range and azimuth dimensions to provide both a filtered estimate and a one-sample-ahead prediction for the purpose of target tracking. The filtered range shift provides an accurate information for range bin alignment, and the target angle change provides the angular positions of the synthetic array elements. Therefore, the ISAR imaging simply becomes processing of a circular-arc aperture. The algorithms are verified both by computer simulations and also with experimental data processing
机译:运动目标的同时成像和跟踪是逆合成孔径雷达(ISAR)信号处理中最困难的问题之一。使用两天线成像雷达解决了该问题。用指数平均包络相关算法感测目标范围偏移,而用差分相移算法测量角度变化。在范围和方位角维度上使用了三个状态卡尔曼滤波器,以提供经过滤波的估计值和提前一个样本的预测,以进行目标跟踪。滤波后的范围偏移为范围容器对齐提供了准确的信息,而目标角度变化则提供了合成数组元素的角度位置。因此,ISAR成像简单地成为圆弧光圈的处理。通过计算机仿真和实验数据处理验证了算法

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