The Burg Algorithm with Extrapolation for Improving the Frequency Estimation

Article type: Research Article

Authors: Kazlauskas, Kazys

Affiliations: Vilnius University Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania, e-mail: kazys.kazlauskas@mii.vu.lt

Abstract: The paper presents a novel method for improving the estimates of closely-spaced frequencies of a short length signal in additive Gaussian noise based on the Burg algorithm with extrapolation. The proposed method is implemented in two consecutive steps. In the first step, the Burg algorithm is used to estimate the parameters of the predictive filter, while in the second step the extrapolation technique of the signal is used to improve the frequency estimates. The experimental results demonstrate that the frequency estimates of the short length signal, using the Burg algorithm with extrapolation, are more accurate than the frequency estimates using the Burg algorithm without extrapolation.

Keywords: frequency estimation, short length signals, Burg algorithm, extrapolation

Journal: Informatica, vol. 22, no. 2, pp. 177-188, 2011