High Resolution Methods Based On Rank Revealing Triangular Factorizations
| Main Authors: | M. Bouri, S. Bourennane |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2007
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1060563 |
Daftar Isi:
- 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.