System Performance & Robustness Testing

Design a series of test scenarios to evaluate the end-to-end performance and robustness of your C-UAS system. Include scenarios with varying numbers of drones, different drone types, adverse environmental conditions (e.g., heavy wind, low visibility), and threats approaching from multiple angles. Document how your system handles these challenges and provide results for detection accuracy, tracking stability, decision latency, and recommendation relevance. Focus on validating the real-time processing and the accuracy of the LLM's recommendations.