Computationally efficient parameter estimation for harmonic sinusoidal signals

被引：62
|
作者：
Li, H [1 ]
Stoica, P
Li, J
机构：
[1] Stevens Inst Technol, Dept Elect & Comp Engn, Hoboken, NJ 07030 USA
[2] Univ Uppsala, Dept Syst & Control, SE-75103 Uppsala, Sweden
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
来源：
SIGNAL PROCESSING | 2000年 / 80卷 / 09期
关键词：
harmonic sinusoidal signal; fundamental frequency estimation; weighted least squares;
D O I：
10.1016/S0165-1684(00)00103-1
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A Markov-like weighted least squares (WLS) estimator is presented herein for harmonic sinusoidal parameter estimation. The estimator involves two distinct steps whereby it first obtains a set of initial parameter estimates that neglect the harmonic structure by some standard sinusoidal parameter estimation technique, and then the initial parameter estimates are refined via a WLS fit. Numerical results suggest that the proposed estimator achieves similar performance to the optimal nonlinear least-squares method for a moderate or large number of data samples and/or signal-to-noise ratio (SNR), but at a significantly reduced computational complexity. Furthermore, the former is observed to have a lower threshold SNR than the latter. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1937 / 1944
页数：8
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