MIMO Radar

Among recent radar technology advancements, MIMO radar represents a novel architecture that demonstrates superior capability in overcoming target RCS scintillation compared to conventional radar systems. This simulation program comprehensively analyzes MIMO radar's detection performance under Gaussian noise background and its constant false alarm rate (CFAR) characteristics through carefully designed signal processing chains. The implementation incorporates key components including waveform diversity optimization, spatial coding techniques, and matched filter banks for target echo processing. The CFAR module utilizes adaptive threshold algorithms that dynamically adjust detection parameters based on environmental noise statistics. These simulation results provide valuable insights into MIMO radar's advantages and application prospects, demonstrating its potential for widespread adoption in military, aerospace, and autonomous driving domains. The performance evaluation framework established here supports future research and development, offering robust technical foundations for advancing related technological fields.