Analytical observations for DOA estimation performance

Author

Li, Fu ; Liu, Hui ; Vaccar, Richard J.

Author_Institution

Dept.of Electr. Eng., Portland State Univ., OR, USA

fYear

1992

fDate

7-9 Oct 1992

Firstpage

318

Lastpage

321

Abstract

The authors study several fundamental relationships of subspace array processing performance to signal measurement conditions. They derive a functional relationship between MSE and each of the following physical data parameters: source correlation, source separation, number of sensors, and number of snapshots. The functional relationships are all derived from their unified MSE expression and allow them to analyze several algorithms simultaneously

Keywords

array signal processing; correlation theory; error analysis; measurement errors; parameter estimation; DOA estimation performance; algorithms; functional relationships; mean squared error; number of sensors; number of snapshots; signal measurement conditions; source correlation; source separation; subspace array processing; Additive noise; Algorithm design and analysis; Covariance matrix; Direction of arrival estimation; Estimation error; Multiple signal classification; Performance analysis; Sensor phenomena and characterization; Source separation; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0508-6

Type

conf

DOI

10.1109/SSAP.1992.246786

Filename

246786