Title :
Fast algorithms for single frequency estimation
Author :
Klein, Jeffrey D.
Author_Institution :
Mindspeed Inc., Newport Beach, CA, USA
fDate :
5/1/2006 12:00:00 AM
Abstract :
In this paper, some new estimators of the frequency of a single complex sinusoid are presented. The rotate-add-decimate (RAD) method of Crozier is first refined to more closely approach the Cramer-Rao Bound (CRB). An additional modification yields an unbiased estimator (ERAD) that essentially achieves the CRB above a signal-to-noise ratio (SNR) threshold comparable to that of RAD. In addition, this estimator is proven to achieve the CRB for high SNR. The ERAD method requires approximately 2N complex multiply-adds and log2N arctangents. A modified ERAD (MERAD) is proposed that matches the SNR threshold and computational complexity of the RAD method (approximately 3N complex multiply-adds and log2N arctangents) but achieves the CRB for high SNR.
Keywords :
computational complexity; frequency estimation; signal processing; Cramer-Rao bound; SNR; computational complexity; rotate-add-decimate method; signal-to-noise ratio; single frequency estimation; Computational complexity; Context; Discrete Fourier transforms; Frequency estimation; Helium; Maximum likelihood estimation; Radar signal processing; Signal processing algorithms; Signal to noise ratio; Yield estimation; Frequency estimation; single sinusoid;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2006.870549