The gradient type LS algorithm for adaptive spectrum estimation

Author

Kim, Daehoon ; Alexander, Winser E.

Author_Institution

Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA

fYear

1988

fDate

7-9 June 1988

Firstpage

759

Abstract

The authors develop a novel adaptive implementation of V.F. Pisarenko´s (1973) high-resolution spectrum estimation method using the least-squares (LS) criterion. This algorithm is compared to P. Thompson´s (1979) LMS algorithm and the LMS algorithm of V.U. Reddy et al. (1982). It is also shown that the proposed algorithm has no bias. A multiprocessor architecture for implementing the algorithm is presented.<>

Keywords

computerised signal processing; convergence of numerical methods; least squares approximations; parallel algorithms; parallel architectures; spectral analysis; LS algorithm; adaptive spectrum estimation; computerised signal processing; convergence analysis; gradient type; high-resolution; least squares criterion; multiprocessor architecture; parallel processing; Autocorrelation; Eigenvalues and eigenfunctions; Frequency estimation; Lagrangian functions; Least squares approximation; Least squares methods; Random processes; Signal processing algorithms; Spectral analysis; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1988., IEEE International Symposium on

Conference_Location

Espoo, Finland

Type

conf

DOI

10.1109/ISCAS.1988.15036

Filename

15036

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1915668