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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Oversampled Pulse Compression Based on Signal Modeling: Application to CONSERT/Rosetta Radar
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Oversampled Pulse Compression Based on Signal Modeling: Application to CONSERT/Rosetta Radar

机译:基于信号建模的过采样脉冲压缩:在CONSERT / Rosetta雷达中的应用

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The context of space missions implies very strong constraints on the design of the instruments. For instance, mass, data rates, power consumption, clock frequency, and accuracy are very limited. These limitations degrade the performance and the accuracy of the measurements. This paper is related to the study of signals sampled at a low frequency. More exactly, we propose an oversampled pulse compression method for radar signals, which allows to reconstruction the signals with a much higher sampling rate. Consequently, this method allows significantly improving the multipath amplitude and the delay estimation accuracy. The efficiency of our method is clearly demonstrated with real measurements. These latter correspond to calibration measurements performed on ground with the radar COmets Nucleus Sounding Experiment by Radio-wave Transmission. The latter allows performing the tomography in the transmission of 67P Churyumov–Gerasimenko comets nucleus in the frame of the Rosetta/European Space Agency space mission. The results show that the proposed method allows estimating the delays with accuracy better than 10% of the sampling period in the case of a sampling frequency value close to the Nyquist limit. The analysis of the measured signals shows how a small frequency aliasing power degrades the delay estimation performance. This problem can be resolved using an estimation method based on an end-to-end signal modeling.
机译:航天任务的背景意味着对仪器设计的严格限制。例如,质量,数据速率,功耗,时钟频率和准确性非常有限。这些限制降低了性能和测量精度。本文涉及对低频采样信号的研究。更确切地说,我们提出了一种用于雷达信号的过采样脉冲压缩方法,该方法允许以更高的采样率重建信号。因此,该方法可以显着提高多径幅度和延迟估计精度。实际测量清楚地证明了我们方法的效率。后者对应于通过无线电波通过雷达COmets核探测实验在地面上执行的校准测量。后者允许在罗塞塔/欧洲航天局太空任务的框架内,在传输67P Churyumov–Gerasimenko彗核的过程中进行层析成像。结果表明,在采样频率值接近奈奎斯特极限的情况下,所提出的方法可以以比采样周期的10%更好的精度估算延迟。对测量信号的分析表明,较小的频率混叠功率会如何降低延迟估计性能。可以使用基于端到端信号建模的估计方法解决此问题。

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