%0 Journal Article
	%A M. Bouri and  S. Bourennane
	%D 2007
	%J International Journal of Aerospace and Mechanical Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 3, 2007
	%T High Resolution Methods Based On Rank Revealing Triangular Factorizations 
	%U https://publications.waset.org/pdf/5172
	%V 3
	%X In this paper, we propose a novel method for subspace estimation used high resolution method without eigendecomposition where the sample Cross-Spectral Matrix (CSM) is replaced by upper triangular matrix obtained from LU factorization. This novel method decreases the computational complexity. The method relies on a recently published result on Rank-Revealing LU (RRLU) factorization. Simulation results demonstrates that the new algorithm outperform the Householder rank-revealing QR (RRQR) factorization method and the MUSIC in the low Signal to Noise Ratio (SNR) scenarios.

	%P 196 - 199