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Cramer-Rao bounds for target parameters in space-based radar applications

机译:天基雷达应用中目标参数的Cramer-Rao边界

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摘要

The Cramer-Rao (CR) bounds for target Doppler and power are presented when detecting targets using a space-based radar (SBR) platform. The target in noise-only case is considered first and the results are compared with those obtained for a centro-symmetric uniform linear pulse array. When clutter is also present, the effect of the Earth's rotation and range foldover becomes significant; and they must be taken into consideration. The CR bounds are computed for target Doppler and power, and compared with their variance estimates obtained from simulation results corresponding to various airborne and SBR situations. From the simulation results, the Earth's rotation together with range foldover significantly increase the CR bounds for both target Doppler and power. This is in agreement with other results that show the Earth's rotation and range foldover together degrade the clutter suppression performance of adaptive processing algorithms. It is shown that when both the Earth's rotation effect and range foldover effect are present in the data, target detection is difficult, and it is necessary to introduce waveform diversity into the transmit design to minimize the effect of clutter and other interference. In this context, using waveform diversity on transmit, it is possible to compensate the degradation in terms of the CR bounds and achieve performance close to the ideal case.
机译:使用天基雷达(SBR)平台检测目标时,会显示目标多普勒和功率的Cramer-Rao(CR)边界。首先考虑仅噪声情况下的目标,并将结果与​​中心对称均匀线性脉冲阵列获得的结果进行比较。当还存在杂波时,地球自转和范围折叠的影响将变得很明显。并且必须将它们考虑在内。计算目标多普勒和功率的CR界限,并将其与从对应于各种机载和SBR情况的模拟结果获得的方差估计值进行比较。从仿真结果来看,地球的自转以及距离折返显着增加了目标多普勒和功率的CR边界。这与其他结果一致,后者表明地球的自转和距离折叠会降低自适应处理算法的杂波抑制性能。结果表明,当数据中同时存在地球自转效应和距离叠加效应时,目标检测就很困难,并且有必要在发射设计中引入波形分集,以最大程度地减少杂波和其他干扰的影响。在这种情况下,通过在发送时使用波形分集,可以补偿CR范围的下降,并获得接近理想情况的性能。

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