A Cognitive Sub-Nyquist MIMO Radar Prototype
| Autor: | Maxim Meltsin, Yonina C. Eldar, Eli Shoshan, Kumar Vijay Mishra, Moshe Namer |
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| Rok vydání: | 2020 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Computer science Computer Science - Information Theory MIMO Aerospace Engineering 02 engineering and technology Signal law.invention 0203 mechanical engineering Sampling (signal processing) law FOS: Electrical engineering electronic engineering information engineering Electronic engineering Nyquist–Shannon sampling theorem Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering Radar Computer Science::Information Theory 020301 aerospace & aeronautics Information Theory (cs.IT) Transmitter Bandwidth (signal processing) Sampling (statistics) Frequency spectrum Compressed sensing |
| Zdroj: | IEEE Transactions on Aerospace and Electronic Systems |
| ISSN: | 2371-9877 0018-9251 |
| DOI: | 10.1109/taes.2019.2924163 |
| Popis: | We present a cognitive prototype that demonstrates a colocated, frequency-division-multiplexed, multiple-input multiple-output (MIMO) radar which implements both temporal and spatial sub-Nyquist sampling. The signal is sampled and recovered via the Xampling framework. Cognition is due to the fact that the transmitter adapts its signal spectrum by emitting only those subbands that the receiver samples and processes. Real-time experiments demonstrate sub-Nyquist MIMO recovery of target scenes with 87.5% spatio-temporal bandwidth reduction and signal-to-noise-ratio of -10 dB. 15 pages, 18 figures, 4 tables. arXiv admin note: text overlap with arXiv:1803.01819 |
| Databáze: | OpenAIRE |
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