MATLAB Simulation of Radar Ambiguity Function

This MATLAB code demonstrates the simulation of ambiguity functions for radar system design. Radar systems utilize electromagnetic waves to detect and locate objects. The ambiguity function serves as a mathematical tool for analyzing signal resolution properties in radar systems. The simulation encompasses two key components: PRN (Pseudo-Random Noise) code ambiguity function analysis and linear feedback shift register (LFSR) implementations. PRN codes, generated using polynomial-based algorithms, are pseudorandom sequences employed for precise range measurement in radar systems. The simulation methodology replicates real-world system behaviors through computational models, enabling designers to evaluate signal processing performance. The implementation includes cross-correlation calculations for ambiguity function generation and tapped delay line structures for LFSR realization. This simulation assists radar engineers in optimizing waveform design parameters, enhancing system resolution capabilities, and improving overall radar reliability through comprehensive ambiguity analysis.