Frequency Estimation of Sinusoidal Signals Using ASIQ–Rife Interpolation Method

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Abstract
To establish a tradeoff between complexity and performance of frequency estimation of sinusoidal signals, a novel automatic segmentation-improved Quinn–Rife method is proposed. The proposed method first utilizes a Discrete Fourier Transform (DFT) algorithm to obtain a coarse estimation, and then divides the frequency deviation into three domains with different processing schemes, which could be suitable for low-delay applications. Simulation results show that the proposed method can overcome the inherent flaws of the classic Quinn and Rife methods, and that the root mean square error closely approaches the Cramer–Rao lower bound at a low signal-to-noise ratio with different estimation ranges. Furthermore, the method does not significantly increase the computational cost under the premise of guaranteed performance, which is beneficial for engineering applications.
Funding Information
  • National Major Science and Technology Special Project of China (2017ZX05009-003)

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