Abstract
A computationally efficient spatial signature-based (SS) method is proposed for estimating the directions of arrival of coherent narrowband signals impinging on a uniform linear array. The normalized SS of the coherent signals is blindly estimated from the principal eigenvector of array covariance matrix and then is used to estimate the directions with a modified Kumaresan-Prony method, where a linear prediction model is combined with "sub-array" averaging. The proposed method not only has the maximum permissible array aperture and computational simplicity, it also better resolves closely spaced coherent signals with a small length of data and at a lower signal-to-noise ratio.
| Original language | English |
|---|---|
| Pages (from-to) | 414-417 |
| Number of pages | 4 |
| Journal | IEEE Signal Processing Letters |
| Volume | 9 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2002 |
| Externally published | Yes |
Keywords
- Array processing
- Eigenvalue decomposition
- Linear prediction
- Multipath environment