Tech Briefs

Co-Prime Frequency and Aperture Design for HF Surveillance, Wideband Radar Imaging, and Nonstationary Array Processing

A co-prime array uses two uniform linear subarrays to construct an effective difference coarray with certain desirable characteristics, such as a high number of degrees-of-freedom for DOA estimation. In this research, the co-prime array concept has been generalized with two operations.

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Converting Existing Copper Wire Firing System to a Fiber-Optically Controlled Firing System for Electromagnetic Pulsed Power Experiments

After extensive review from the US Army Research Laboratory (ARL) Electrical Safety Office, it was determined that the existing firing system in Experimental Facility 167 (EF 167) was not adequate to safely perform pulsed-power experiments with gunpowder- or air-driven guns. This firing line used solid copper wire, which provided a continuous electrical conduction path between the high-voltage capacitor in the test chamber and the firing/control room, where personnel are stationed when experiments are performed (Figure 1). This poses a safety risk since high voltage can travel from the test chamber and potentially result in personnel injuries and damaged equipment.

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In-Network Processing on Low-Cost IoT Nodes for Maritime Surveillance

The effective distribution of offensive weapon capabilities to naval units at the tactical edge is a critical focus for Navy leaders. A direct byproduct of this priority is the need to employ sensor and data collection systems that can effectively guide the targeting of that offensive capability. In the recent past, wireless sensor networks have received limited use in the maritime domain due to the exploratory nature of technology, high system complexity and the high cost of system deployment. With the Internet-of-Things revolution, commercially available hardware and software components can be used to build low-cost, reliable, disposable wireless sensor networks that can leverage in-network processing schemes to greatly expand the intelligence collection footprint.

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Advancements Made to the Wingman Software-in-the-Loop (SIL) Simulation: How to Operate the SIL

The US Army Research Laboratory (ARL), US Army Tank Automotive Research Development and Engineering Center (TARDEC), DCS Corp., and Naval Surface Warfare Center Dahlgren Division (NSWCDD) worked together to advance the capabilities of a software-in-the-loop (SIL) simulation environment in support of the larger TARDEC-Wingman Joint Capabilities Technology Demonstration (JCTD).

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Soft Robotic Fish Swims Alongside Real Ones in Coral Reefs

A team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) unveiled “SoFi,” a soft robotic fish that can independently swim alongside real fish in the ocean. During test dives in the Rainbow Reef in Fiji, SoFi swam at depths of more than 50 feet for up to 40 minutes, nimbly handling currents and taking high-resolution photos and videos using a fisheye lens.

Posted in: Briefs, Aerospace
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Soldier-Robot Team Communication: An Investigation of Exogenous Orienting Visual Display Cues and Robot Reporting Preferences

The advancement of robot capabilities and functionality has changed the way in which soldiers perform many of their operational tasks. The various unmanned air, ground, and submersible vehicles currently deployed have significantly impacted present-day warfare.

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GPS Enabled Semi-Autonomous Robot

The primary objective of this research is to integrate GPS and local sensory data to allow a robot to operate semi-autonomously outside of a laboratory environment. The Pioneer 3-AT, a robust platform capable of operating in the outdoors, is utilized in this project. The P3-AT has acoustic sensors that can calculate distances to obstacles and encoders that calculate how much each wheel has turned. In a laboratory environment, sensory and encoder information can be used to triangulate position or measure distance and direction traveled from a known starting point. Operating outdoors limits the effectiveness of both systems as the obstacles are not known and wheels can often slip and slide on different surfaces. This necessitates external data to determine the location of the robot. GPS was chosen to provide that data. GPS, acoustic, and encoder data were integrated within MATLAB and provided control signals to the robot.

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