An Improved Frequency Estimator for Single Sinusoid Signal

Author

Li, Shentang ; Wan, Hong ; Huang, Yuqi ; Huo, Wenjun

Author_Institution

Inf. Eng. Univ. of PLA, Zhengzhou

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

1216

Lastpage

1219

Abstract

An improved frequency estimator (CFI-Kay) is proposed. The estimator improves Kay´s algorithm by autocorrelation, FFT and interpolation, digital heterodyne, decimation, linear prediction... The estimator has a significantly reduced threshold relative to the existing methods and mean-squared error (MSE) close to that of maximum likelihood estimation (MLE). In addition, the MSE is within 0.2 dB of the Cramer-Rao bound (CRB) at signal-to-noise ratios (SNRs) above threshold. The performance of CFI-Kay algorithm is uniform across a frequency range of -pi to pi. Moreover, the increased computational complexity of the new estimator is acceptable.

Keywords

computational complexity; fast Fourier transforms; frequency estimation; interpolation; maximum likelihood estimation; mean square error methods; signal processing; CFI-Kay algorithm; Cramer-Rao bound; computational complexity; frequency estimator; maximum likelihood estimation; mean-squared error; signal-to-noise ratio; single sinusoid signal; Amplitude estimation; Computational complexity; Frequency estimation; Gaussian noise; Interpolation; Maximum likelihood estimation; Phase estimation; Programmable logic arrays; Signal processing; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.310

Filename

4340085