Abstract
In this study, the performance of the matrix pencil (MP) method and the estimation of signal parameters using rotational in-variance technique (ESPRIT) method have been compared under varying number of snapshots taken. The matrix pencil method applies the technique directly to the data to estimate the poles, and works well under the correlated signal case, as opposed to ESPRIT, a statistical subspace based estimation technique, which will work after applying some additional spatial smoothing techniques to tackle the ill conditioning problem of the covariance matrix. Simulation results are provided to show the performance of these two methods.
Original language | English (US) |
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Pages (from-to) | 561-567 |
Number of pages | 7 |
Journal | Digital Signal Processing: A Review Journal |
Volume | 18 |
Issue number | 4 |
DOIs | |
State | Published - Jul 2008 |
Keywords
- ESPRIT
- Matrix pencil
- Multiple snapshots
ASJC Scopus subject areas
- Artificial Intelligence
- Signal Processing
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Statistics, Probability and Uncertainty
- Computational Theory and Mathematics