Blind Signal Detection Under the Unknown Carrier Frequency and Unknown Channel Information

초록

We consider a blind signal detection problem, where the carrier frequency and the channel state information are not available. We first recover band-limited signals from sub-Nyquist sampled signals using sparse signal recovery algorithms without the center frequency information. Then, we perform blind equalization on the recovered baseband signals without channel information. The numerical results show that the blind signal detection performs very close to the ideal detection with the perfect information of the carrier frequency and the channel information in terms of bit errors. © 2020, Korean Institute of Communications and Information Sciences. All rights reserved.

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