Compact, Lightweight Magnetic Sensor for Small Unmanned Undersea Vehicles (UUV)
White River Technologies (WRT), a small business focused on magnetics detection applications, in collaboration with Naval Sea Warfare Center Panama City Division (NSWC-PC) is developing "MAGNUM," a magnetic sensing confirmation module for the MK18 family of unmanned undersea vehicles (UUVs). MAGNUM significantly improves Navy capabilities to locate, classify, and neutralize undersea explosive threats. This technology addresses the challenges of high clutter, target burial, and heavy marine growth environments where detection and classification is difficult. Extending integrated acoustics for mine countermeasures (MCM), MAGNUM fuses low-noise magnetic sensors for improved performance. This innovative magnetometer approach provides acoustic target clutter rejection via a single-axis gradiometer configuration (M1XG). MAGNUM consists of a nose-cone module housing miniaturized magnetometer, data interface module, integrated DSP, and data archival/exfiltration modules.
Development of Analysis Techniques for Predicting Magnetic Anomaly Detection (MAD) Equipped UAV Performance in Naval Anti-Submarine Warfare Environment.
Working with the lead P-8A contractor, this innovative airborne magnetic data analysis and processing organization is developing a software based Tactical Decision Aid (TDA) to enhance the Navy's Anti-Submarine Warfare (ASW) capability. The software predicts statistical metrics characterizing Magnetic Anomaly Detection (MAD) sensor performance based on probabilistic estimation of target and background magnetic fields and complex environmental and mission related factors. At the heart of the software are modeling and simulation modules that accurately account for the errors associated with numerous inputs in order to output predictive metrics on the probability of detection of a submarine threat. A simulation environment was designed to accurately predict the probability of a magnetic sensing of an ASW threat.
White River Technologies’ (WRT) advanced electric field (e-field) technology reduces geomagnetic noise and optimizes magnetic anomaly detection (MAD) to improve Navy anti-submarine warfare (ASW) capabilities. WRT, focused on magnetitic (MAG) and electromagnetic (EM) detection, developed a sensor to perform accurate and robust measurement under varying conditions, that can be deployed via multiple airframes. E-field sensors optimize UAV-based MAD by addressing multiple spatial and temporal noise sources. WRT’s compact rotating electrostatic field-mill design, suitable for small UAVs, fully meets size, weight, and power (SWAP) requirements. Combined with innovative digital signal processing (DSP), multi-spectral noise mitigation and target detections are optimized. High-sensitivity (< 1 mV/m) enables generator, and power source detection, making WRT’s technology a candidate for integration into a wide range of detection and surveillance applications.
Development of Explosive Non-Acoustic Sensing on Remotely Operated Vehicles for Littoral Threat Characterization in Complex Seabed Environments
WRT developed an advanced, efficient and integrated technology for detection and characterization of obscured seabed targets. Deployed on inspection-class remotely operated vehicles (ROV), the system integrates high-sensitivity miniaturized-magnetometers (MAG) for standoff target detection and 3D electromagnetics (EM) for target identification. This technology addresses obscured sub-bottom targets in cluttered seabed environments, where acoustics technologies have limited capabilities, and fills mine countermeasures (MCM), unexploded ordnance (UXO) and improvised explosive device (IED) detection performance gaps. The combined MAG and 3D-EM system is tightly integrated on an inspection-class ROV, deployed from multiple vessels, including rigid-hulled inflatable boats (RHIB)s. This provides the warfighter a flexible and low-cost solution to various detection challenges. WRT is a small business with advanced capabilities for integration of advanced miniaturized geophysical sensors and realtime processing on unmanned platform.