Virtual EM is pursuing prototype development in the following core technology areas:
- Wireless Sensors
- Antenna and Microwave Circuits
- Computational Electromagnetics
- Hardware Accelerated Computing
- Target Detection and Identification
1. Wireless Sensors
Virtual EM has ongoing prototypi3ng efforts for detection of Biological Warfare Agents (BWAs) using chemical sensors augmented with RFID and ZigBee technologies. Virtual EM is providing the wireless hardware and is teaming with academic and industry partners for the sensors.
2. Antenna and Microwave Circuits
Past and present efforts exist for designing and developing antenna and microwave circuits for a variety of applications including RFID, telematics, MIMO, and remote sensing.
3. Computational Electromagnetics (CEM)
Both full-wave and asymptotic techniques are covered. Full-Wave Methods: Element Method (FEM) and the Method of Moments (MoM) along with acceleration algorithms such as Fast Multiple Method (FMM) and Domain Decomposition have already been incorporated. Asymptotic Methods: Physical Optics (PO), Geometrical Theory of Diffraction (GTD), Physical Theory of Diffraction (PTD).
Through strong defense funding, Virtual EM has developed prototype software for designing antennas and wireless systems. VirAntennTM software is capable of designing antennas with complex material variations and geometries as well as predicting the effect of the platform on the antenna performance. VirAntennTM's development was funded by the U.S. Navy under a Phase II SBIR contract and is currently being Beta tested by a number of defense prime contractors. See Products page for more details.
4. Hardware Accelerated Computing
Virtual EM is developing specialized computing hardware for Method of Moments (MoM) simulations. Special purpose processors are being used within a PC cluster environment for accelerating CPU-intensive sections of the MoM computations. A five-fold increase over current commercial offerings in Flops/$ is being targeted.
5. Target Detection and Identification
Support Vector Machine (SVM) and Neural Network (NN) based algorithms are being developed for target detection in clutter (in maritime applications) and for picking out targets from a sea of decoys (in missile defense applications).