Barney M.J.,Remcom Inc.
2015 9th European Conference on Antennas and Propagation, EuCAP 2015 | Year: 2015
The high frequencies utilized by automotive radar sensors, coupled with the electrically large fascia in front of the sensors, have posed a challenge for simulation software in the form of long simulation times. Advances in NVIDIA graphics processing units (GPUs) have alleviated this problem, increasing the productivity of RF engineers who need high fidelity simulations of a sensor behind fascia. Using a 25 GHz short-range radar (SRR) model, this paper compares multiple GPU architectures released in 2007 through 2013 to look at the downward trend in simulation times. A larger than 65% decrease in simulation times is observed, which allows a fully detailed sensor simulation to run in less than 4 hours on modern GPUs. © 2015 EurAAP. Source
O'Rourke R.,Remcom Inc.
Microwave Journal | Year: 2015
The technical comparison of 3D planar MoM EM simulation with fully arbitrary 3D EM simulation helps illustrate how both formulations work and informs users as to which may work best for a given application. © 2015, Horizon House. All rights reserved. Source
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: 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.