Title :
A high-resolution modified Burg algorithm for spectral estimation
Author :
Helme, Benjamin ; Nikias, Chrysostomos L.
Author_Institution :
Naval Underwater Systems Center, New London, CT
Abstract :
In this paper a new stable modification of the weighted Burg technique for autoregressive (AR) spectral estimation is introduced based on data-adaptive weights that are proportional to the common power of the forward and backward AR process realizations. It is shown that AR spectra of short length sinusoidal signals generated by the new approach do not exhibit phase dependence or line-splitting. Further, it is demonstrated that improvements in resolution may be so obtained relative to other weighted Burg algorithms. The method suggested here is shown to resolve two closely-spaced peaks of dynamic range 24 dB whereas the modified Burg schemes employing rectangular, Hamming or "optimum" parabolic windows fail.
Keywords :
Algebra; Algorithm design and analysis; Computer errors; Filters; Frequency; Iterative algorithms; Lattices; Performance analysis; Reflection; Yield estimation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172309