Using Wider, Deeper Views of Elusive Signals to Characterize Complex Systems and Environments
应用文章
Advanced analog and digital technologies have spawned radar systems that utilize frequency agility and wide bandwidths. For example, greater performance in digital signal processing (DSP) is making techniques such as pulse compression commonplace. In addition, DSP has led to advancements in digital dynamic range and algorithm complexity. Combining these developments with advances in amplifier and antenna design has enabled dynamic capabilities such as complex beam steering.
All of this leads to very complex signal activity, and the dense and dynamic challenges today’s electromagnetic spectrum operation (EMSO) systems face. Even though these systems also take advantage of technology advancements such as high-performance DSP and GaN amplifiers, they are burdened by the breadth of possible real-world scenarios. As a result, if you work on radar, EMSO, or Signal Intelligence (SIGINT) systems, it is highly likely that you have been—or soon will be—tasked with measuring or identifying a much more complex signal environment than what was seen in the past.
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