An algorithm of frequency estimation for multi-channel coprime sampling

TL;DR

This paper introduces a novel frequency estimation algorithm for multi-channel coprime sampling systems that operates effectively at sub-Nyquist rates, leveraging subspace techniques for high accuracy and robustness.

Contribution

It presents a new algorithm applicable to any number of channels using coprime undersampling ratios, enhancing frequency estimation under hardware constraints.

Findings

High accuracy in frequency estimation

Good robustness against noise and sampling imperfections

Applicable to any number of channels

Abstract

In some applications of frequency estimation, it is challenging to sample at as high as the Nyquist rate due to hardware limitations. An effective solution is to use multiple sub-Nyquist channels with coprime undersampling ratios to jointly sample. In this paper, an algorithm suitable for any number of channels is proposed, which is based on subspace techniques. Numerical simulations show that the proposed algorithm has high accuracy and good robustness.