An algorithm of frequency estimation for multi-channel coprime sampling

نویسندگان

  • Shan Huang
  • Haijian Zhang
  • Hong Sun
  • Lei Yu
چکیده

In some applications of frequency estimation, it is challenging to sample at as high as Nyquist rate due to hardware limitations. Based on conventional ESPRIT, a new method for frequency estimation with double-channel sub-Nyquist sampling is proposed. When the two undersampled multiples are relatively prime integers, partial samples are selected to estimate the frequency components contained in the signals via ESPRIT. The simulations show that the proposed method holds almost the same accuracy with regular sampling.

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تاریخ انتشار 2015