UAV-based magnetic anomaly detection system for remote sensing: design, build, test and fly (UAV-MAD)

无人机已被证明是一整套国防和安全能力中不可或缺的工具，用于持续的情报、监视和侦察，以及民用和工业部门的遥感应用，包括采矿勘探和管道监测。加拿大国防研究和发展局(DRDC)确定，需要在战术无人机领域进行研究和开发，以探索和利用水下船只探测的新能力，以确保对海洋领域的认识。一方面，潜艇设计者一直在研究方法和技术，以减少可检测到的特征，如声发射，以及雷达、红外和视觉特征。例如，非常安静的现代柴油-电力潜艇和浅水作业对声学探测提出了挑战。另一方面，磁异常检测(MAD)传感器的新发展被认为是一种潜在的、有前途的技术来补充声传感器的能力。因此，提出了一种基于加拿大无人机的防御和安全仪器，该设备配备了MAD，用于海上领域感知，并具有潜在的民用遥感领域的应用。建议的技术包括设计和开发具有长寿命和大面积覆盖能力的性能优化的无人机，设计和开发基于无人机的MAD传感器，以及开发和测试用于多无人机任务的网络控制算法。

Unmanned Aerial Vehicles (UAVs) have proven to be an integral instrument in a suite of defence and security capabilities for persistent intelligence, surveillance and reconnaissance, and civilian and industrial sector remote sensing applications including mining exploration and pipeline monitoring. Defence Research and Development Canada (DRDC) has determined that there is a need for research and development in the area of tactical UAVs to explore and exploit emerging capabilities in submerged vessel detection to ensure maritime domain awareness. On one hand, submarine designers have been researching methods and techniques to reduce detectable signatures such as acoustic emissions, and radar, infrared and visual signatures. For example, the very quiet modern diesel-electric submarines and operations in the shallow waters present acoustical detection challenges. On the other hand, new developments in Magnetic Anomaly Detection (MAD) sensors have been proposed as a potential and promising technology to complement the capabilities of acoustic sensors.Therefore, the development of a Canadian UAV based defence and security instrument of a MAD-equipped UAV for maritime domain awareness is proposed, and with potential applications to the civilian remote sensing sector. The proposed technology includes the design and development of performance optimized UAVs with long endurance and large area coverage capabilities, the design and development of a UAV-based MAD sensor , and the development and testing of network control algorithms for multi-UAV missions