Title :
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
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;
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
DOI :
10.1109/SSAP.1992.246786
