• Corpus ID: 222125072

Super-Nyquist Co-Prime Sensing.

@article{Dias2020SuperNyquistCS,
  title={Super-Nyquist Co-Prime Sensing.},
  author={Usham V. Dias},
  journal={arXiv: Signal Processing},
  year={2020}
}
  • U. Dias
  • Published 2 October 2020
  • Computer Science
  • arXiv: Signal Processing
The theory of co-prime arrays has been studied in the past. Nyquist rate estimation of second order statistics using the combined difference set was demonstrated with low latency. This paper proposes a novel method to reconstruct the second order statistics at a rate that is twice the Nyquist rate using the same sub-Nyquist co-prime samplers. We analyse the difference set, and derive the closed-form expressions for the weight function and the bias of the correlogram estimate. The main lobe… 

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