Global Navigation Satellite Systems (GNSS) is expected to play a growing role in enhancing the autonomy of space missions by providing precise positioning and timing information to spacecraft. However, when operating at significant distances from Earth, such as for example throughout Moon Transfer Orbits (MTOs), GNSS signals are typically faint. Thus, ensuring the reliable acquisition and tracking of these signals becomes a pressing concern. Given the increasing interest in the use of GNSS technology, an assessment of signal integrity is a prerequisite for its reliable use under critical conditions. This work investigates and implements signal processing techniques designed to evaluate and visualize distortions in ranging signals with a low signal-to-noise ratio (SNR), focusing on the processing of short batches of signal samples.