Title :
Estimating 2-D DOA angles using nonlinear array configurations
Author :
Sakarya, F. Ayhan ; Hayes, Monson H.
Author_Institution :
Elektrik-Elektronik Fakultesi, Yildiz Teknik Univ., Istanbul, Turkey
fDate :
9/1/1995 12:00:00 AM
Abstract :
This paper modifies the direction-of-arrival matrix (DOAM) method for detecting 2-D direction-of-arrival (DOA) angles of narrowband far-field source signals using nonlinear array configurations. The key modification to the DOAM method is the replacement of the 1-D data model with a 2-D data model. The modified DOA matrix (MDOAM) method requires less computation, detects more sources with the same number of sensors, and removes the constraint on the spacing between subarrays
Keywords :
direction-of-arrival estimation; 1D data model; 2D DOA angles estimation; 2D data model; direction-of-arrival matrix method; narrowband far-field source signals; nonlinear array configurations; subarray spacing; Bonding; Direction of arrival estimation; Distribution functions; Entropy; Estimation theory; Nonlinear filters; Probability distribution; Signal processing; White noise;
Journal_Title :
Signal Processing, IEEE Transactions on
