Radar anomaly detection techniques are specialized methods designed to identify unusual patterns or behaviors in radar data. These techniques utilize statistical analysis, machine learning algorithms, and signal processing to differentiate between normal and abnormal radar returns. Key accuracy metrics, including True Positive Rate, False Positive Rate, Precision, Recall, and F1 Score, are employed to evaluate the effectiveness of these detection algorithms. Applications of radar anomaly detection span various fields, such as air traffic control, maritime surveillance, defense systems, automotive safety, environmental monitoring, and space exploration, enhancing safety, security, and operational efficiency across these domains. 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 signals to distinguish between normal and abnormal radar returns. Common methods…