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2009: Our first Small Business Innovative Research (SBIR) award!
The US Navy was seeking better ways to deal with the effects of high power interference on their radios, a problem known as co-site interference. Our RF Absorptive Filter, or RAF, technology was a new, never-before attempted technique to build a class of digitally tunable, absorptive filters that could be cascaded as easily as Lego building blocks.
2010: Our first "David vs. Goliath" contract award!
Building on the success of our RAF SBIR project, we were asked to propose a rapidly fieldable solution for a mission critical capability to support our troops overseas. We bid, and won, an opportunity to deliver 20 units to the field, but we had to do it in less than 6 months. The best part? We beat out much larger competitors from around the country!
2013: Our first big company partnership!
A joint project between the Navy and Army gave us the opportunity to integrate our best-in-class digitally tunable filter into a widely deployed system. We partnered with Sierra Nevada Corporation to upgrade their system to be the first of its kind to integrate advanced RF transmitters with our digitally tunable filters. This project really put us on the map!
2015: Building a next-gen interference canceller!
What's an interference canceller? Think Bose noise cancelling headsets, but for wireless radios. The US Army was no longer interested in incremental improvements to digitally tunable RF hardware, they wanted a game changer, and we had a plan to deliver it to them. We blended the latest techniques in digital signal processing and software defined radio technology together to deliver a first-of-its-kind "referenceless" interference canceller.
2017: Upping the game for digitally tunable filters too!
The US Army also wanted leap-forward capabilities in digitally tunable filters, particularly ones that were much, much smaller than currently available ones. We reached deep into our arsenal of techniques, and won a contract to marry the worlds of passive analog electronics and digital signal processing to break the traditional constraints that force tradeoffs between filter size and performance.