Ambiguity Function Simulation for Linear Frequency Modulated Signals, Barker Code Biphase-encoded Signals, and Pulse Signals

This program implements simulation methods for calculating ambiguity functions of linear frequency modulated (LFM) signals, Barker code biphase-encoded signals, and pulse signals. These methods help users better understand and investigate the ambiguity function characteristics of different signal types. The implementation includes core algorithms such as matched filtering, correlation processing, and Doppler compensation to accurately model signal behavior under various conditions. Through customizable parameters and support for multiple input signal types, users can generate comprehensive ambiguity function simulation results to deeply explore signal processing concepts. The program features a graphical user interface and visualization tools that enable intuitive observation and analysis of ambiguity function plots, including contour maps and 3D surface plots. Additionally, the code provides functions for signal generation, windowing operations, and performance metrics calculation. In summary, this program offers a straightforward yet powerful toolset for researching and analyzing ambiguity function characteristics of LFM signals, Barker code biphase-encoded signals, and pulse signals with practical MATLAB implementation examples.