A Software Defined Radio Testbed for Over-the-air Cognitive Cycle Demonstration
ID:90 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:368 Oral Presentation

Start Time:2020-06-08 15:40(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS01Robust Super-Resolution DOA Estimation and Its Applications

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Abstract
Deep learning (DL) have been widely applied in cognitive radio, including cognitive jamming, cognitive communication and cognitive radar. Many functional properties of DL are amenable to numerous electromagnetic waveform recognition tasks. In fact, there exists a gap between the DL network design and the real time application. This prompts us to adopt the software defined radio testbed to realize the online "cognition-action" demonstration. Via an innovative artificial intelligent (AI)-baseband co-design, the system can realize the modulation recognition and demodulation adaption, which is associating with a demonstration of "cognition-action" cycle. In addition, to realize the online recognition and adaption, we design the over-the-air demodulation reconstruction method. By our experimental results, we demonstrates that such cognitive cycle can bring about noticable improvement in cognitive applications.
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Speaker
Jiapeng Wu
Space Star Technology CO., LTD, China

Submission Author
Jiapeng Wu Space Star Technology CO., LTD, China
Panfei Du Tianjin University, China
Zihao Zhang Tianjin University, China
Qing Wang Tianjin University, China
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    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

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  • Apr 15 2020

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  • Dec 31 2020

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