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A.I.
AI and military RF systems - Story
November 15, 2018
Advances in artificial intelligence (AI) are enabling significant leaps in science and technology, including the fields of digital signal processing (DSP) and radio frequency (RF) systems. Methods nominally labeled as "AI" have been applied to radio systems for decades, but always with the goal of optimizing the control plane of a hand-engineered system (e.g., "smart radios" or "cognitive radios"). Using a class of AI known as deep learning, we are now able to learn entirely new systems by processing sample data which can provide greater sensitivity, better performance, and reduced power consumption and processing requirements as compared to traditional approaches. The effect of this breakthrough methodology will be significant, and as with many new technologies, we will first see its use and impact in military systems.
Comms
Software-defined radio: To infinity and beyond - Story
October 17, 2016
It's hard to believe that the term "software-defined radio" (SDR) has been around for approximately 30 years. That's a long time in the technology world, but SDR is still a common topic of discussion and carries more than its share of misconceptions. The definition of SDR - per the Wireless Innovation Forum (formerly the SDR Forum) - is "a radio in which some or all of the physical-layer functions are software-defined." The term is really focused on the physical (PHY) layer processing of the waveform, and not related to the radio-frequency (RF) front end, which is a common misconception. Radios with wideband tunable RF front ends capable of dynamic spectrum access are referred to as cognitive radio (CR). A cognitive radio is defined as a radio in which communication systems are aware of their internal state and environment, such as location and utilization on RF frequency spectrum at that location.Software-defined radio: To infinity and beyond
Articles 1 - 2
