Title :
Unified bias analysis for DOA estimation algorithms
Author :
Li, Fu ; Lu, Yang
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., OR, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319673
