DocumentCode
2029527
Title
Unified bias analysis for DOA estimation algorithms
Author
Li, Fu ; Lu, Yang
Author_Institution
Dept. of Electr. Eng., Portland State Univ., OR, USA
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
376
Abstract
A statistical analysis using subspace perturbation expansion is applied to the direction of arrival (DOA) estimation bias for MUSIC, Min-Norm, ESPRIT, State-Space Realization (TAM), and Matrix-Pencil algorithms, assuming that only a finite amount of array data is available. The authors obtain an unified analytical expression of the DOA estimation bias for those algorithms in a simple and self-contained fashion. The tractable formula provides insight to the algorithms. Simulation results verify the analytically predicted performance.<>
Keywords
array signal processing; parameter estimation; perturbation techniques; statistical analysis; DOA estimation bias; ESPRIT; MUSIC; Matrix-Pencil; Min-Norm; State-Space Realization; direction of arrival estimation algorithms; performance; statistical analysis; subspace perturbation expansion;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319673
Filename
319673
Link To Document