Name
Abstract | ||
|---|---|---|
Multiple narrowband source localization using arbitrarily configured arrays and spatial-spectrum estimation is considered. A new eigenspace-based approach which uses projections onto a particular vector or vector set in the estimated noise-only subspace is described. Several CLOSEST vector estimators are developed by using different measures of closeness. First CLOSEST is a novel full-dimensional element-space approach to spatial-spectrum estimation which has important performance advantages relative to pertinent established spatial-spectrum estimators. It incorporates a priori knowledge of the array manifold over a location sector of interest to provide SNR spectral-resolution thresholds which are lower than those of MIN-NORM (for some arrays, substantially lower). Second, relationships between the CLOSEST approach and several established approaches to spatial-spectrum estimation are established. For a linear equispaced array, MIN-NORM is shown to be a special case of the CLOSEST-approach-one which is based on projection onto a noise-only subspace vector which is close to the array manifold over the entire field of view |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/29.103086 | Acoustics, Speech and Signal Processing, IEEE Transactions |
Keywords | Field | DocType |
antenna arrays,antenna theory,eigenvalues and eigenfunctions,spectral analysis,SNR spectral-resolution thresholds,array manifold,closest vector estimators,eigenspace-based approach,linear equispaced array,location sector,noise-only subspace,spatial-spectrum estimation | Field of view,Mathematical optimization,Narrowband,Subspace topology,Signal-to-noise ratio,A priori and a posteriori,Eigenvalues and eigenvectors,Mathematics,Manifold,Estimator | Journal |
Volume | Issue | ISSN |
38 | 11 | 0096-3518 |
Citations | PageRank | References |
50 | 20.44 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Buckley | 1 | 116 | 34.21 |
| X. Xu | 2 | 129 | 40.35 |