Ultrafast Sweep-Tuned Spectrum Analyzer with Temporal Resolution Based on a Spin-Torque Nano-Oscillator
| Autor: | Bernard Dieny, V. Iurchuk, A. N. Litvinenko, Vasyl Tyberkevych, Andrei Slavin, Jia Li, A. S. Jenkins, Steven Louis, Pankaj Sethi, Ursula Ebels, Ricardo Ferreira |
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| Rok vydání: | 2020 |
| Předmět: |
Physics
Signal processing Spectrum analyzer business.industry Mechanical Engineering Bandwidth (signal processing) Bioengineering Biasing 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics Magnetization Optics Temporal resolution Nano General Materials Science 0210 nano-technology business Ultrashort pulse |
| Zdroj: | Nano Letters |
| ISSN: | 1530-6992 1530-6984 |
| DOI: | 10.1021/acs.nanolett.0c02195 |
| Popis: | We demonstrate that a spin-torque nano-oscillator (STNO) rapidly sweep-tuned by a bias voltage can be used to perform an ultrafast time-resolved spectral analysis of frequency-manipulated microwave signals. The critical reduction in the time of the spectral analysis comes from the naturally small-time constants of a nanosized STNO (1-100 ns). The demonstration is performed on a vortex-state STNO generating in a frequency range around 300 MHz, when frequency down-conversion and matched filtering is used for signal processing. It is shown that this STNO-based spectrum analyzer can perform analysis of frequency-agile signals, having multiple rapidly changing frequency components with temporal resolution in a μs time scale and frequency resolution limited only by the "bandwidth" theorem. Our calculations show that using uniform magnetization state STNOs it would be possible to increase the operating frequency of a spectrum analyzer to tens of GHz. |
| Databáze: | OpenAIRE |
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