GenXComm

AutoCell Laboratories develops solutions that automatically reduce RF interference, ensure robust wireless performance in business and wireless broadband deployments, and enhance quality of life in digital homes.

Andro Computational Solutions is a company that received a Department of Defense SBIR/STTR grant for a project entitled: Sensor Registration. The abstract given for this project is as follows: The performance of a multi-sensor Ballistic Missile Defense System (BMDS) is heavily dependent upon data from dispersed and disparate radars and other types of sensors. Timely and accurate fusion of data collected from a variety of radars and/or other sensors (EO/IR) is needed to track and discriminate the targets, providing kinematics and classification information. The use of a sensor network is motivated by the possibility of fusing a great amount of data taken by sensors that operate independently and have somewhat complementary features. Advantages of using a sensor network include greater volume of coverage and increase in system reliability and robustness. For a multi- sensor system, efficient sensor registration, sensor management and resource allocation are required to track and discriminate multiple targets successfully. A typical multi-sensor system has limited system resources, such as the sensing resources, and the bandwidth of the communication links between sensors and a central processing node. Therefore, it is important to manage the sensors in an efficient and collaborative way such that the tracking performance is maximized with the constrained system resources. Andro Computational Solutions is a company that received a Department of Defense SBIR/STTR grant for a project entitled: Improved Analysis Techniques for Prediction of Avionics Electromagnetic Interference and Vulnerability - IntegratedEMPro System. The abstract given for this project is as follows: For modern, complex aircraft systems and avionics subsystems, coupling full-wave solutions to the electronic circuitry models is critical in order to accurately predict RF (radio frequency) system-level performance in the presence of electromagnetic signals originating from other avionics on the aircraft, high-power transmitters on other aircraft or ships, or even from microwave weapons. However, the unavailability of the circuitry models at the full vehicle level makes a comprehensive analysis very challenging. Most of the aircraft components such as Line Replaceable Modules (LRMs) are not always available with their full circuit models. However, many LRMs undergo MIL-STD-461 and MIL-STD-464 compliance testing, which provides radiated emissions/susceptibility and conducted emissions/susceptibility data. Therefore, it is important to integrate these data sets and models into a multi-physics based analysis tool to carry out practical system- level EMI analysis of electronic systems inside an aircraft. This proposed effort is to make significant innovative improvements to physics-based electromagnetic interference/vulnerability (EMI/V) tools by incorporating system performance parameters and characterizations of subsystem components within aircraft transmitters and receivers. A detailed description of the information requirements is developed for field- circuit interaction computational engines and multi-physics simulators. A scattering matrix approach is used for combining time and frequency domain analyses of circuits and LRMs, including their physical model library with aircraft radiating components to achieve a seamless integrated-level solution. Consideration is also given to how the overall prediction accuracy degrades as a function of the level of detail associated with the model library. Proof-of-concept validations will to be performed on a variety of canonical problems and limited number of real-world problems.

Si-Ware specializes in material analysis solutions within the technology industry. The company offers portable analyzers and a platform for downloading test methods, which provide accurate on-site materials analysis. These services are primarily utilized in sectors such as agriculture, food, life sciences, and others. It was founded in 2004 and is based in Cairo, Egypt.

GroundhogTechnologies offers advanced solutions for performance management, capacity planning, and network optimization. It engages in wireless network optimization software and mobile big data analytics. It focuses on geolocation, geo-analytics, geo-targeting, data monetization, digital transformation, and location-based analytics. The company was founded in 2001 and is based in Cambridge, Massachusetts.

Nextivity is a developer of indoor coverage technology, including the Cel-Fi indoor coverage booster, which optimizes the experience of wireless subscribers and increases Radio Frequency network capacity for mobile operators.

NewEdge Signal Solutions is applying a number of ground-breaking technologies to the problems of 4G wireless RF communications to solve the conflicting demands of massive year on year increases in data and the desire for smaller, more efficient, agile communication systems.