Spectral Analysis of Periodically Gapped Data
2003 (English)In: IEEE Transactions on Aerospace and Electronic Systems, ISSN 0018-9251, Vol. 39, no 3, 1089-1097 p.Article in journal (Refereed) Published
We devise novel, interpolation-free, and computationally tractable extensions of the spectral analysis methods Capon and APES (amplitude and phase estimation) to periodically gapped data. Our methods are based on the observation that periodically gapped data usually have a structure that supports estimation of a relatively large number of covariance lags. The large signal-to-noise-ratio (SNR) behavior of the new algorithms is discussed, and numerical examples are provided to illustrate their performance.
Place, publisher, year, edition, pages
2003. Vol. 39, no 3, 1089-1097 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-77039DOI: 10.1109/TAES.2003.1238761OAI: oai:DiVA.org:liu-77039DiVA: diva2:524666