Military Embedded Systems



PODCAST: Counter-UAV advancements pull from commercial innovation to dominate the spectrum - Podcast

October 15, 2020

Counter-Unmanned Aerial Vehicle (UAV) systems are pivotal players on the electromagnetic spectrum. In this podcast, Emma Helfrich, guest host and associate editor with Military Embedded Systems, talks with Ryan Hurt, vice president of business development at Liteye Systems, to discuss the C-UAV systems that equip the U.S. Army. Helfrich and Hurt cover the Electronic Warfare (EW) capabilities, like radar and sensors, that power C-UAV systems and further the idea that innovation is dependent on data processing and intelligent algorithms to reduce the sensor-to-shooter timeline and protect the Army from aerial threats.


PODCAST: Navigating GPS-denied environments and the perfect magnetic sensor - Podcast

October 13, 2020

Modern battlefields present many complex challenges for Army soldiers, one of which is how to operate in GPS-denied environment. In this podcast, George Hsu, CTO, founder, and board member of PNI Sensor Corp., discusses the challenges in designing sensor solutions for warfighters in these environments like sensor stabilization for moving soldiers and power efficiencies as wel as how PNI leverages artificial intelligence (AI) for their sensor designs. He also describes the perfect magnetic sensor — that will provide longitude and latitude in any environment.  


PODCAST: Driving open architectures in F-35 avionics and other military platforms. - Podcast

May 10, 2019
Open architectures will make tech refreshes such as the latest avionics modernization (Technology Refresh 3 (TR3)) on the F-35 Joint Strike Fighter and other platforms much more efficient and cost effective in the long run. In the latest McHale Report Podcast, Bryant Henson, vice president and general manager for Harris Corporation?s Electronic Systems Avionics Business Unit details how through the open architecture approach, the F-35's next-gen Integrated Core Processor (ICP) is targeted to generate a 75 percent reduction in unit cost compared to the current system, as well as a 25-time increase in computing power to support planned capability enhancements, greater software stability, higher reliability, and increased diagnostics that result in lower sustainment costs.