Angle of Arrival Estimation Using Cholesky Decomposition
An angle of arrival (AOA) estimator is presented. Many applications require accurate AOA estimates such as wireless positioning and signal enhancement using space-processing techniques. The proposed AOA estimator depends on the Cholesky decomposition of the received signal autocorrelation matrix. T...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2012/803617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | An angle of arrival (AOA) estimator is presented. Many applications require accurate
AOA estimates such as wireless positioning and signal enhancement using space-processing techniques.
The proposed AOA estimator depends on the Cholesky decomposition of the received signal autocorrelation
matrix. The resultant decomposed matrices are used to modify the crosscorrelation matrix
of the received signals at the antenna array doublets. The proposed method is named the Cholesky-decomposition-based-AOA (CDBA) estimator. In comparison with the TLS-ESPRIT algorithm which
utilizes the eigenvalue decomposition (EVD) of the received signal autocorrelation and crosscorrelation
matrices, the CDBA method has better performance than the TLS-ESPRIT algorithm especially in low
signal-to-noise-ratio (SNR) cases. Simulations for the proposed CDBA method are shown to assess its
performance. |
|---|---|
| ISSN: | 1687-5869 1687-5877 |