Title :
A novel approach for robust high-resolution DOA estimation
Author :
Totarong, Pian ; El-Jaroudi, Amro
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Abstract :
The proposed method is based on the signal eigenvectors of the covariance matrix being a linear combination of the direction vectors which contain the DOA information. By applying a high-resolution frequency estimation algorithm to an element sequence of a combination of signal eigenvectors, the proposed method has better performance at low SNR. For example, it is about 5 dB more robust to noise than spatial-smoothed MUSIC and Minimum-Norm
Keywords :
array signal processing; eigenvalues and eigenfunctions; parameter estimation; covariance matrix; frequency estimation algorithm; high-resolution DOA estimation; performance; signal eigenvectors; Covariance matrix; Delay; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Noise robustness; Sensor arrays; Sensor phenomena and characterization; Signal to noise ratio; Spatial resolution;
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.1992.246774
