Agency: Department of Defense | Branch: Army | Program: STTR | Phase: Phase II | Award Amount: 748.90K | Year: 2010
The goal of this effort is to create a hybrid software product that combines a full wave electromagnetic solver with a sophisticated circuit simulator creating an engineering tool that is capable of simulating the complete system of complex electronic devices. This tool will be powerful asset for a wide variety of government and industry users for applications that combine field and circuit interaction such as radio design, co-site interference, and active tuning. Government applications could include the co-location of multiple transmitters on a vehicle or the impact of electromagnetic pulse on circuitry while industry users are interested in simulations such as the interaction of multiple antennas in cellular phone devices or the tuning of magnetic resonance imaging coils. In Phase I the concept was validated by simulating a multi-stage radio circuit connected to a monopole antenna. For Phase II the product will be refined to functionality of the circuit solver will be integrated into the full wave solver, creating a unified tool Validation of the solver will be provided against measurements such as the co-site interference problem of nearby radios. The effort will combine the multi-physics circuit simulator, fREEDA, with the full wave commercial software product, XFdtd.
Agency: Department of Defense | Branch: Army | Program: STTR | Phase: Phase I | Award Amount: 99.98K | Year: 2008
With ever sophisticated antenna and transceiver designs, the traditional separation between antennas and circuits has become blurred. Many antenna designs now contain integrated circuitry and have circuitry that includes active and passive devices with nonlinear and time-varying characteristics. In order to design such antennas and conduct a correct a thorough investigation of proposed designs, it is necessary to model both the electromagnetic effects and the circuitry. The proposed tool will be able to model the high fidelity time domain of radio transceivers circuits with both nonlinear and dynamic characteristics. Thus the goal of this proposed project is to integrate proven circuit modeling tools with electromagnetic modeling and simulation tools. The proposed tool will support not only radiated energy but also the effects of external fields such as co-site interference on the circuitry. The proposed tool shall extend two widely used and proven software packages: fREEDA, a circuit simulator with its schematic capture engine ifREEDA, and XFdtd, a finite difference time domain electromagnetic simulator.
Agency: National Science Foundation | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 99.75K | Year: 2008
This Small Business Innovation Research Phase I project will investigate the feasibility of developing and implementing computational algorithms to study a broad range of plasma discharge and plasma surface processes. New algorithms will be based on a fully kinetic description of plasmas such that electrons, ions, and/or neutrals will be individually tracked with proper weighting techniques applied. The computational approach will be based on Monte Carlo methods which will be combined with XccelerateTM, Remcom's particle-in-cell (PIC) and finite integration (FIT) solver currently under development. Taking into account the limitations of the current methods available, a comprehensive list of relevant plasma/gas and plasma/surface chemical reactions will be constructed to form a foundation and scope of the project. Research code will be developed to study the accuracy and computational expense of the combined PIC/FIT/Monte Carlo solver. If the computational expense proves prohibitive, parallelization and hardware acceleration techniques will be investigated. The Phase I project will determine the feasibility of implementing a plasma processing code which provides computational solutions for a wide range of plasma discharge and processing applications. The broader impact/commercial potential from this technology will be the creation of simulation software for plasma processing. Plasma processing is widely utilized in the manufacturing of semiconductors and integrated circuits as well as being a critical component of material science and nanotechnology applications. These fields will continue to expand in the foreseeable future. Unfortunately, even after many years of research, the theoretical understanding of plasma processing lags behind the practical application, and industry relies largely on trial and error techniques in determining their manufacturing processes. The overall goal of the project is to provide plasma processing physicists with a comprehensive software package which will provide a full range of numerical solutions with an easy to use graphical user interface (GUI) and powerful result visualization capabilities. This contribution will allow industries to streamline their operations by increasing theoretical understanding prior to the manufacturing stage and reducing man-hours spent developing complex in-house computational algorithms. In addition, it is also expected that the completed project will receive attention from various government research labs and provide an excellent tool for academic teaching and research. As there are no current commercial software packages available which provide in depth analysis of plasma chemistry and processing, the market size and commercialization potential of the completed project will be considerable.
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 79.93K | Year: 2014
An innovative, new adaptive signal processing solution is proposed for mitigation of the impact that wind turbine clutter has on airborne radar performance. Electromagnetic simulations are used to predict radar returns in the presence of wind turbine scattering, terrain multipath, and clutter from terrain and sea surfaces, not only for use in assessment of the solution, but also as a part of the intelligent mitigation approach, providing a method for training the algorithms for a wide variety of conditions and environments. Building on previous work for ground-based radar, the approach employs methods for handling the dynamic clutter environment in airborne operation, and techniques to rapidly adapt and train as new regions enter the radar field of view. The final solution will be a knowledge-aided process, that identifies key features of wind turbine clutter and applies adaptive algorithms to improve radar probability of detection and reduce probability of false alarms.
Agency: Department of Defense | Branch: Defense Advanced Research Projects Agency | Program: SBIR | Phase: Phase I | Award Amount: 98.71K | Year: 2011
The objective of this topic is to rapidly and efficiently develop mobile applications (apps) for handheld devices and to demonstrate their utility in a number of military domains. Remcom proposes to develop within the TIGR environment a handheld app for the Android device that will provide real time mapping of various RF propagation (communications) performance parameters in urban, rural and littoral environments for fixed and mobile assets. The app will provide maps of communications/jammer coverage and link analysis to known remote assets from the user"s location. The app will update periodically based on movement or planned routes and the user will be able to toggle views. The app will leverage compass and GPS inputs and provide location-sensitive and heading-sensitive map data containing overlays of various real time data in the form of color-coded regions and icons. The objectives of Phase I are: assess the Android platform for EM modeling performance; research the requirements, capabilities and API of the TIGR environment; determine the required client/server architecture; determine the mix of C++ and Java modules needed to support the application; create a design for the non-TIGR version of the app; create a preliminary design for integration into TIGR; and implement and test the non-TIGR prototype app. Phase I option objectives are: produce a final design of a prototype TIGR version of the app; and begin integration of the RF propagation app into TIGR.