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Chirp Parameter Estimation from a Sample Covariance Matrix
KTH, School of Electrical Engineering (EES), Signal Processing.
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-2298-6774
2001 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, Vol. 49, no 3, 603-612 p.Article in journal (Refereed) Published
Abstract [en]

This paper considers the problem of estimating the bandwidth and the center frequency of a linear chirp signal. The nonstationarity property of chirp signals implies that the signal has high rank and reduces the applicability of subspace-based algorithms significantly. However, the special structure of the sample covariance matrix invites the use of regular frequency estimation algorithms. Herein, we show how subspace-type algorithms may be modified to provide accurate signal parameter estimates for linear chirp signals at reasonable complexity. The root-MUSIC algorithm is used as an example.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2001. Vol. 49, no 3, 603-612 p.
Keyword [en]
Chirp signal, polynomial phase, root-MUSIC, subspace
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-58877DOI: 10.1109/78.905888OAI: diva2:474261
NR 20140805Available from: 2012-01-09 Created: 2012-01-09 Last updated: 2012-01-09Bibliographically approved

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