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Development of a Model-Based Signal Processing Algorithm for Range Gated Step Frequency Radar

This project focuses on the development of a signal processing algorithm for the Range Gated Step Frequency (RGSF) radar, which is integral to NASA's Mars Exploration Program. The algorithm aims to enhance surface and subsurface characterization by enabling the understanding of soil composition, detecting sub-surface ice and water, and monitoring seismic activity. We will explore conventional signal processing techniques, such as the Inverse Fast Fourier Transform (IFFT), and incorporate a model-based approach to improve detection and characterization of deeper geological layers on Mars.

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Development of a Model-Based Signal Processing Algorithm for Range Gated Step Frequency Radar

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  1. Model Based Signal Processing Algorithm for MIDP GPR • GOALS AND OBJECTIVES • A Range Gated Step Frequency Radar (RGSF) is to be used as part • of NASA’s Mars Exploration Program (MEP) for surface and sub- • surface characterization for: • a) Understanding the soil composition and mineralogy • b) Detection of sub-surface ice and water • c) Seismic activity monitoring • We are working towards developing a signal processing algorithm • for the RGSF radar to meet the objectives stated earlier. MATHEMATICAL MODEL • THE CONVENTIONAL SOLUTION • The IFFT of the received and down-converted signal gives the range profile. A typical example is shown below: • As can be seen, the deeper layers are hard to locate. • It is much harder to characterize these layers to achieve our • objectives. • May be improved by incorporating the physics of the underlying media into the processing algorithm( The Model Based Approach) A SIMPLE PHYSICAL MODEL 051003

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