December 11, 2015 report
New optical technique able to detect a single radio signal amongst background noise
As Vasilyev notes, there are a lot of areas in science that could benefit from an ability to isolate a single short signal amongst a stream of noise—astronomy, is just one example. Currently it is impossible to separate out a unique signal if there is just one burst present—there needs to be multiple examples. That could change in the near future as the researchers on this new effort have developed a way to convert radio signals to optical signals that can be processed to filter, separate and identify individual components.
The team started with converting the radio signals to optical signals because the latter are more sensitive to changes in frequency—to make the conversation, the team looped the signals so that they could gather enough data for averaging. Next they used two tunable optical frequency combs—when the spectrums were overlapped it allowed for alignment of the components which caused the signal to be amplified as compared to other background noise, which then allowed it to be uniquely identified. The team tested their technique by running 4,720 detection attempts and found it to be better than 99 percent accurate.
The researchers believe their technique can be broadened to include the detection of a wide variety of signals, from optic applications to those that look for microwaves. It could also possibly be modified for use in seemingly unrelated research areas such as sensing the spontaneous decay of a molecule. There also exists the possibility that the new detector could be used to spot signals that to date have gone undetected, perhaps revealing the existence of some new type of phenomena.
Observation of random, nonrepetitive phenomena is of critical importance in astronomy, spectroscopy, biology, and remote sensing. Heralded by weak signals, hidden in noise, they pose basic detection challenges. In contrast to repetitive waveforms, a single-instance signal cannot be separated from noise through averaging. Here, we show that a fast, randomly occurring event can be detected and extracted from a noisy background without conventional averaging. An isolated 80-picosecond pulse was received with confidence level exceeding 99%, even when accompanied by noise. Our detector relies on instantaneous spectral cloning and a single-step, coherent field processor. The ability to extract fast, subnoise events is expected to increase detection sensitivity in multiple disciplines. Additionally, the new spectral-cloning receiver can potentially intercept communication signals that are presently considered secure.
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