A new signal subspace processing for DOA estimation

Authors:
Ali Olfat;Said Nader-Esfahani
Affiliations:
Department of Electrical and Computer Engineering, University of Tehran, P.O. Box 14395-515, Tehran, Iran;Department of Electrical and Computer Engineering, University of Tehran, P.O. Box 14395-515, Tehran, Iran
Venue:
Signal Processing
Year:
2004

Citing 4
Cited 0

Matrix analysis

Matrix analysis
The algebraic eigenvalue problem

The algebraic eigenvalue problem
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise

Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Traffic improvements in wireless communication networks using antenna arrays

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.08

Visualization

Abstract

We present a new subspace-based direction of arrival (DOA) estimation algorithm for narrow-band sources with high-resolution localization capabilities. The algorithm is based on the invariance property of noise subspace to power of emitters. We specifically compare the resolution of the proposed algorithm with the well-known high-resolution multiple signal classification (MUSIC) method. The proposed method performance is also superior to MUSIC algorithm in the case of correlated sources. Besides, the proposed algorithm is much less sensitive to the power level differences between adjacent sources compared to MUSIC, i.e., very weak sources in vicinity of Strong ones can be resolved.