Ipsolon Research is an innovator in software defined radio technology.
We want you to be an innovator, too. Our engineering and production is done on-site so we can be trusted partners by providing fully-customized, leading-edge, timely technology solutions.
We launched Ipsolon Research in 2017 to develop and improve the analog and digital signal processing system for an airborne obstruction penetrating LIDAR system. Since then, we’ve engineered hardware, software, and FPGA design for a range of Software Defined Radios (SDR) and advanced wireless systems.
In addition to work for commercial wireless IC, we also manufacture and sell Chameleon and Cerberus Radios, both are wideband, small-form factor SDR for military communications, anti-jamming, and other advanced wireless signal processing applications. Our goal is to provide the wireless community with advanced radio system software and hardware development, early SDR conceptual design, advanced signal processing, and rapid prototyping.
John Shanton III is the CEO of Ipsolon Research with over 30 years of engineering experience in wireless communications and radio system design, John has spent the last 15 years as chief system architect of numerous SDR systems for ground tactical and airborne military radios. Prior to that, John has over a decade of satellite ground terminal design and five years of optical communications experience. He also has expertise in wireless communications security (a.k.a. cybersecurity), embedded system software engineering, advanced signal processing, and radio system architecture and design.
Sidafa Conde is a Principal Embedded Software Engineer at Ipsolon Research. He received a Ph.D. in Engineering and Applied Science with a focus in Computational Science and Engineering from the University of Massachusetts Dartmouth. He is an experienced computational scientist and researcher combining theoretical knowledge with practical expertise in numerical methods, computational science, and accounting. An author and co-author of numerous publications such as “Embedded error estimation and adaptive step-size control for optimal explicit strong stability preserving Runge–Kutta methods.” Sidafa has also co-presented at the AIP Conference Series for ICNAAM.