# Abstract
 
This project implements a Multiple-Input Multiple-Output Affine Frequency Division Multiplexing Integrated Sensing and Communication (MIMO-AFDM-ISAC) system, specifically optimized for doubly-dispersive channel environments characterized by high Doppler shifts and delay spreads. The system demonstrates significant performance advantages over traditional OFDM systems in extreme doubly-dispersive channels, achieving 10-15 dB SNR performance gain while maintaining BER below 10^-3 at high mobility scenarios (500 km/h). The AFDM waveform design utilizes chirp-based modulation with optimized parameters (c1, c2) through discrete affine Fourier transform (DAFT), enabling robust performance in high Doppler conditions. The integrated sensing and communication capabilities provide 3D joint estimation (angle, range, velocity) with sub-degree angular resolution within ±60° field of view, centimeter-level range resolution up to 1000m, and velocity estimation RMSE better than 1 km/h for high-speed targets. The MIMO spatial processing incorporates multiple beamforming algorithms (conventional, MVDR, null-steering) with ULA array optimization, while the multi-objective optimization framework balances communication capacity, sensing accuracy, and physical layer security through chirp parameter randomization and frequency-agile design.