Browse Topic: Surveillance
Enhancing rotor efficiency has been a persistent challenge in the development of micro aerial vehicles (MAV) especially for surveillance and covert operations. This study introduces a new Hybrid Flapping Wing Rotor (Hybrid FWR) configuration inspired by insect's wing flapping mechanics to address the efficiency limitation of traditional rotor designs. Unlike traditional rotary systems that rely solely on rotational motion, the Hybrid FWR combines rotational and flapping motions to significantly enhance lift generation. A comprehensive mathematical model was developed to analyze and predict the optimal aerodynamic performance, demonstrating that the Hybrid FWR configuration achieves a substantial improvement, with a power efficiency increase of up to 2.148-fold compared to conventional micro rotorcraft. Experimental validation was conducted to confirm the theoretical predictions, identifying an optimal hybrid ratio of approximately 0.7, which effectively minimizes aerodynamic resistance during the upstroke phase while maximizing lift during the downstroke. This bio-inspired hybrid approach addresses critical limitations of existing MAV rotors, such as limited operational endurance and range. The findings of this research contribute significantly to the advancement of micro rotorcraft technology, presenting a promising direction for future MAV developments with enhanced flight performance and energy efficiency.
On August 1, 1963, the first two Canadian Sea King helicopters arrived at their new home station, Shearwater, Nova Scotia and joined the Royal Canadian Navy. On Saturday, December 1, 2018, three Canadian Sea King helicopters, now part of the Royal Canadian Air Force, made their final flight over their home station at Patricia Bay, British Columbia. This paper outlines some of the highlights of the intervening 55 years with particular emphasis on procurement and fleet introduction, the helicopter's rapid change of roles from dedicated anti-submarine warfare helicopter to a general-purpose surveillance platform for the First Gulf War and finally, the truly amazing accomplishments of the Canadian Sea Kings in the year 2010. It is worth bearing in mind that although the personnel may have changed and the roles and equipment of the aircraft have been modified, the requirement to provide ‘Wings for the Fleet’ has remained constant over the years.
This paper addresses the design, development, and operations of a portable wireless airborne voice and data communication system that permits use of cell phones without violating the regulatory restrictions of the FCC or FAA. This same system also serves to integrate Automatic Dependent Surveillance - Broadcast (ADS-B) information into a single interoperable solution for improved situational awareness and command and control using commercially available edge devices such as smart phones and tablets. The Airborne Communication Platform™ (ACP), an optional enhancement to the Airborne Flight Reporting System™ (AFRS), provides an affordable, yet robust and FAA and FCC-compliant "black box" for a wide range of real-time voice and data communications between air and ground assets. Through a combination of multi-modal radios and programmable cellular frequencies, both voice telephony and data telemetry are possible using commercial-grade cell phones switched to "Airplane Mode." This enables voice and data communications outside of the restricted frequency range stipulated by either FAA or FCC for aircraft operations. Advantages include sending real-time flight performance, ADS-B information, and systems health and usage data while simultaneously permitting global voice communications on the ground and enroute at any altitude.
The Wallops Flight Facility Launch Range has a need to interface data from ship surveillance Furuno radar to an existing surveillance display system (SureTrak). SureTrak is a multi-sensor waterway and air surveillance system. The display of Furuno radar data by the SureTrak system will be used for risk analysis purposes prior to rocket launches. The capability did not exist within the SureTrak system to ingest data from the Furuno radar. This software application was developed to provide the needed data interface capability within the SureTrak system. In addition to providing a data interface to SureTrak, the software application will also provide a data interface to another software application that performs probability of impact calculations on the ships reported by the Furuno radar.
The CAMS system comprises a deployment of multiple narrow-field, low-light video cameras that completely covers the sky in a mosaic pattern from 30° elevation and above. Two or three such camera batteries separated by many kilometers allow for large atmospheric volume coverage, high spatial resolution, and the high probability of viewing a meteor from more than one site for triangulation and thus atmospheric path reconstruction.
This technology was developed for the Soil Moisture Active Passive (SMAP) mission and for the IRAD-FY13 Technology for Radiometer RFI Noise Detection & Mitigation Based on HHT2. Spacecraft beyond the present state-of-the-art passive radiometry will make use of natural thermal emissions to remotely sense Earth phenomena of interest to science (soil moisture, for example) in the technologically challenging microwave L-band. In this 1.4-GHz band (used by SMAP), a terrestrial source thermal signal emission to space suffers less attenuation by the intervening atmosphere. Unfortunately, the relative insensitivity of the L-band region to atmospheric effects also makes it an extremely attractive spectral range for wireless communications and radars that are causing radio frequency interference (RFI) with the spaceflight science radiometer instruments’ terrestrial phenomenon signal of interest, even as this band is protected by radio-communication regulations. Detection and excision or mitigation of the RFI-contaminated measurements is a challenge to the state of the art.
ABSTRACT CHOPPA-M is a multi-resolution, multi-agent simulation framework developed to complement the existing CHOPPA (Combined Helicopter OPerations and Performance Analysis) framework. Like CHOPPA, it is designed to support operations research methods through simulation. It does so by presenting a consistent user interface and architecture for the modelling of autonomous systems across a variety of physical environments. These autonomous systems, or agents, may then participate in a pre-defined operational scenario. This describes CHOPPA-M's scene/vignette approach. In this paper, the background, architecture and user interface of CHOPPA-M are described. The development of some of the software's agent models are detailed and then employed in a case study: a maritime surveillance helicopter participating in a search and engage operation. From this case study, some conclusions are drawn. Finally, the future direction of CHOPPA-M is discussed.
ATLAS ELEKTRONIK UK Winfrith Newburgh, Dorchester, UK +44-1305-212400
The Time Series Product Tool (TSPT) is a MATLAB-based software application that computes and displays high-quality vegetation and environmental monitoring indices from high temporal revisit rate Mod erate resolution Imaging Spectroradiometer (MODIS) and other satellite sensors. The original purpose of the TSPT was to fuse MODIS Terra and Aqua products to improve the temporal interpolation and filtering of time series affected by clouds. TSPT provides single-timeframe and multi-temporal change images as time series plots at a selected location, or as temporally processed image videos. The labor involved with manually creating these types and quantities of products is considerable; however, by using the TSPT, this process becomes simplified, efficient, and largely automated. This software tool enables and/or aides in the rapid regional surveillance of crops, forests, and other vegetative surfaces.
Mixed-initiative teams of robots and humans working side-by-side in close proximity to each other need to be capable of reasoning about the actions and activities of each other within a mission context. This capability requires the robotic agents to have a sense of self, and their roles and responsibilities.
The paper describes the use of an Intelligent Decision-aiding Agent (IDA) associate for management of distributed aviation assets during warfighter net-centric operations. VELOXITI, Inc. (formerly Applied Systems Intelligence, Inc.), is collaborating with government personnel to demonstrate and evaluate a Situational Awareness Fusion Enhancement (SAFE) Aid in a man-in-the-loop experimentation environment as part of an Aviation Development Directorate - Applied Aviation Technology Directorate (ADD-AATD) Phase II Small Business Innovative Research (SBIR) project. Last year’s Phase I focus was on defining the requirements for integrating a collaborative adaptive tasking system (CATS) into a full mission simulation environment. This year’s efforts have grown into the SAFE Aid Intelligent Decision-Aiding Associate (IDA) system which incorporates a platform agnostic Intelligent Associate System for scout/attack/utility helicopters, and which will be integrated, demonstrated and evaluated in an operationally relevant man-in-the-loop simulation environment. SAFE Aid is intended to dramatically increase situational awareness within the cockpit and allow the ability to identify and access multiple Surveillance and Reconnaissance assets with a single bezel button to automatically task manned and unmanned assets. This tasking is based upon prioritization of Area of Operations (AO) events that optimizes all Surveillance and Reconnaissance assets to cover high priority events in the AO. SAFE Aid also enables aircrew safe route planning functionality, collision avoidance, predictive aircraft positioning, over the horizon weather updates, and many other operationally relevant functionality for scout/reconnaissance/attack/utility helicopter missions including MEDEVAC support. This paper will show the development, integration, demonstration and evaluation of the SAFE Aid technology that reduces aircrew workload and enables aircrews to effectively manage and utilize distributed aviation assets, without impairing their operational performance on other flight tasks. Aircrews will fly operationally relevant mission vignettes in a laboratory simulation environment with SAFE Aid operating and without SAFE Aid operating. Data collection and analysis of aircrew responsiveness will assess the aircrew’s ability to optimize interaction between manned and unmanned aircraft within a relevant mission context environment. Mission safety will be demonstrated using the ability for the system to incorporate additional knowledge bases adapted to accommodate evolving Tactics, Techniques and Procedures (TTPs). Mission demonstrations will involve multiple aircrews operating in two simultaneous mission simulation environments. Operational effectiveness and situational awareness requirements will consider data and user interfaces, real-time performance and human interaction issues. These defined requirements will aid in documenting the evaluation criteria for the SAFE Aid IDA. Evaluation criteria consider collection and analysis of the measurements for both a simulator-based environment and for full flight environments. The ultimate goal is to identify IDA benefits for aircrew members when the SAFE Aid system is operating, as compared to when the system is not operating, and the impact this has on operationally relevant mission scenario success.
This paper describes the development of a proposed framework of metrics for the evaluation of the performance of aircraft guidance systems. The methodologies and metrics developed remain generally agnostic to whether or not the aircraft is manned. Although more complicated missions such as autonomous exploration/search, ferry, surveillance, multi-agent collaboration, and manned flight may be addressed at a later time, A-B flight scenarios are chosen to study the proposed metrics. The proposed metrics will form building blocks for the more complicated missions. Metrics development has thus far generally focused on NOE flight, and in particular on the observability of the vehicle throughout its mission. That is, a formulation of probability of detection by potential and generally unknown threats in the mission area will be the main metric. Secondary metrics provide insight into the vehicle's trajectory quality in terms of safety and comfort, experienced by both humans and machines are described as well. Scalability of the benchmarking system is also important and benchmarking should be general enough to allow guidance algorithms to be graded independently of the vehicle platform, for instance. Non-dimensionalization metrics will address this concern.
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