Radar anomaly detection techniques are essential methods used to identify unusual patterns or behaviors in radar data, enhancing safety and security across various applications. These techniques encompass statistical analysis, machine learning algorithms, and signal processing methods to detect deviations from expected norms. Key applications include air traffic control, military surveillance, maritime navigation, automotive systems, weather monitoring, and wildlife conservation. Despite their importance, these techniques face challenges such as high false positive rates, environmental variability, and the complexity of radar data processing. Ongoing research and development are necessary to address these challenges and improve anomaly detection capabilities. What are Radar Anomaly Detection Techniques? Radar anomaly detection techniques are methods used to identify unusual patterns or behaviors in radar data. These techniques analyze radar signals to detect deviations from expected norms. Common…