This study applies the Levanon-Mozeson MATLAB code to evaluate the ambiguity function (AF) across a diverse array of radar signals, presenting detailed three-dimensional visualizations under various operational parameters such as amplitude, phase, signal period, and propagation delays. Through systematic testing, the interaction of each signal with the AF was quantitatively assessed. Notably, the Costas signal exhibited the most distinctive pattern, characterized by a nearly flat Doppler response throughout the entire 3D plot, with zero-cut Doppler values significantly flattened compared to other signals. In contrast, pulse train signals consistently showed substantial decorrelation, indicating lower consistency with the AF. This empirical analysis revealed that the Costas signal maintained a high degree of clarity in the AF, with minimal variance at the zero-cut points, while other tested signals such as the Barker 13 and Frank 16 exhibited varied AF profiles, with Barker codes achieving a maximum Doppler spread of ±60 Hz and Frank codes showing notable phase stability across different sampling rates. These insights provide valuable implications for enhancing radar signal processing, bridging theoretical constructs with real-world signal behavior to advance the functionality of radar systems.