GLRT-detection performance in subsurface sounding

Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509) Pub Date : 2004-04-26 DOI:10.1109/NRC.2004.1316481

M. Sciotti, D. Pastina, P. Lombardo

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Abstract

The performance of subsurface deep sounding is investigated with reference to the radar sounder, MARSIS (Mars advanced radar for subsurface and ionosphere sounding), aboard the Mars Express mission, designed to investigate the presence of water-related interfaces in the subsurface of Mars. The analysis aims at providing the necessary tools for (i) performance prediction and (ii) data processor design. Using well known models for the backscattered signal, we compare the expected signal-to-clutter ratio values under most of the instrument's operating conditions. The generalized likelihood ratio (GLR) approach is followed for subsurface interface detection, and along-track integration is introduced in order to achieve the desired performance. In particular, we address the design of the integration window, and the requirements of data homogeneity. A thorough performance analysis is presented to cope with the expected MARSIS scenarios. In particular, we investigate several sources of mismatch between the assumed model and collected data, and derive the performance degradation due to each source.

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glrt在地下探测中的探测性能

参考火星快车任务上的雷达测深仪MARSIS(火星先进的地下和电离层探测雷达)对地下深探测的性能进行了研究，MARSIS旨在调查火星地下是否存在与水有关的界面。该分析旨在为(i)性能预测和(ii)数据处理器设计提供必要的工具。使用众所周知的后向散射信号模型，我们比较了大多数仪器工作条件下的预期信杂比值。采用广义似然比(GLR)方法进行地下界面检测，并引入沿轨迹积分以达到预期的性能。我们特别讨论了集成窗口的设计，以及数据同质性的要求。提出了一个全面的性能分析，以应对预期的MARSIS场景。特别是，我们研究了假设模型和收集数据之间不匹配的几个来源，并推导了由于每个来源导致的性能下降。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)

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