A robust and high resolution adaptive eigensubspace algorithm for nonstationary environments

Author

Yang, Jar-Ferr ; Lin, Hui-Ju ; Ho, J.-C.

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Taiwan

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2663

Abstract

A robust and high-resolution adaptive eigensubspace algorithm which generalizes the inflation method is proposed. The convergence and initialization behavior of the algorithm and its parallelization surpass those of the Pisarenko harmonic retrieval (PHR) algorithm and other adaptive algorithms, if the number of sources is not known. The algorithm is suitable for the adaptive processing needed for tracking nonstationary signal parameter

Keywords

adaptive filters; signal detection; signal processing; tracking; adaptive eigensubspace algorithm; convergence; inflation method; initialization behavior; nonstationary environments; nonstationary signal parameter; parallelization; tracking; Adaptive algorithm; Convergence; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Frequency estimation; Robustness; Sensor arrays; Signal processing; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.116168

Filename

116168

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2956196