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Amplitude estimation of sinusoidal signals: survey, new results, and an application

Publication Type  Journal Article
Year of Publication  2000
Authors  Stoica, P [1]; Li, H [2]; Li, J [3]
Journal Title  Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]
Journal Date  02/2000
Volume  48
Issue  2
Pagination  338-352
ISSN Number  1053-587X
Key Words  amplitude estimation [4]; least squares approximations [5]; matched filters [6]; noise [7]; signal processing [8]
Abstract  This paper considers the problem of amplitude estimation of sinusoidal signals from observations corrupted by colored noise. A relatively large number of amplitude estimators, which encompass least squares (LS) and weighted least squares (WLS) methods, are described. Additionally, filterbank approaches, which are widely used for spectral analysis, are extended to amplitude estimation; more exactly, we consider the matched-filterbank (MAFI) approach and show that by appropriately designing the prefilters, the MAFI approach to amplitude estimation includes the WLS approach. The amplitude estimation techniques discussed in this paper do not model the observation noise, and yet, they are all asymptotically statistically efficient. It is, however, their different finite-sample properties that are of particular interest to this study. Numerical examples are provided to illustrate the differences among the various amplitude estimators. Although amplitude estimation applications are numerous, we focus herein on the problem of system identification using sinusoidal probing signals for which we provide a computationally simple and statistically accurate solution.
URL  http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=823962 [9]
Export  EndNote Tagged [10] | XML [11] | BibTex [12]
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Source URL: http://cnmat.berkeley.edu/publication/amplitude_estimation_sinusoidal_signals_survey_new_results_and_ap

Links:
[1] http://cnmat.berkeley.edu/publications/author/Stoica
[2] http://cnmat.berkeley.edu/publications/author/Li
[3] http://cnmat.berkeley.edu/publications/author/Li
[4] http://cnmat.berkeley.edu/publications/keyword/amplitude%2Bestimation
[5] http://cnmat.berkeley.edu/publications/keyword/least%2Bsquares%2Bapproximations
[6] http://cnmat.berkeley.edu/publications/keyword/matched%2Bfilters
[7] http://cnmat.berkeley.edu/publications/keyword/noise
[8] http://cnmat.berkeley.edu/publications/keyword/signal%2Bprocessing
[9] http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=823962
[10] http://cnmat.berkeley.edu/publications/export/tagged/3647
[11] http://cnmat.berkeley.edu/publications/export/xml/3647
[12] http://cnmat.berkeley.edu/publications/export/bib/3647
[13] http://worldcatlibraries.org/registry/gateway?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fcnmat.berkeley.edu&genre=article&atitle=Amplitude%20estimation%20of%20sinusoidal%20signals%3A%20survey%2C%20new%20results%2C%20and%20an%20application&title=Signal%20Processing%2C%20IEEE%20Transactions%20on%20%5Bsee%20also%20Acoustics%2C%20Speech%2C%20and%20Signal%20Processing%2C%20IEEE%20Transactions%20on%5D&issn=1053-587X&date=2000&volume=48&issue=2&spage=338&epage=352&aulast=Stoica&aufirst=P&au=Li%2C%20H&au=Li%2C%20J&id=%3Ca%20href%3D%22http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D823962%22%3Ehttp%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D823962%3C%2Fa%3E&sid=biblio%3ACNMAT