IEEE transactions on signal processing, 2007-02, Vol.55 (2), p.758-763
2007
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Details
- Autor(en) / Beteiligte
- Titel
- Subspace Direction Finding With an Auxiliary-Vector Basis
- Ist Teil von
- IEEE transactions on signal processing, 2007-02, Vol.55 (2), p.758-763
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2007
- Quelle
- IEEE Explore
- Beschreibungen/Notizen
- We develop a new subspace direction-of-arrival (DOA) estimation procedure that utilizes a noneigenvector basis. Computation of the basis is carried out by a modified version of the orthogonal auxiliary-vector (AV) filtering algorithm. The procedure starts with the linear transformation of the array response scanning vector by the input autocorrelation matrix. Then, successive orthogonal maximum cross-correlation auxiliary vectors are calculated to form a basis for the scanner-extended signal subspace. As a performance evaluation example, our studies for uncorrelated sources demonstrate a gain in the order of 15 dB over MUSIC, 7 dB over ESPRIT, and 3 dB over the grid-search maximum likelihood DOA estimator at probability of resolution 0.9 with a ten-element array and reasonably small observation data records. Results for correlated sources are reported as well
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1053-587XeISSN: 1941-0476DOI: 10.1109/TSP.2006.885771Titel-ID: cdi_pascalfrancis_primary_18449462
- Format
- –
- Schlagworte
- Adaptive filtering, Algorithms, Analysis of variance, angle-of-arrival (AOA) estimation, Applied sciences, Array signal processing, Arrays, auxiliary-vector (AV) algorithm, Bayesian methods, Covariance matrix, Detection, estimation, filtering, equalization, prediction, direction-of-arrival (DOA) estimation, Ellipsoids, Estimation theory, Exact sciences and technology, Filtering, Information, signal and communications theory, Mathematical analysis, Music, Noise levels, Robustness, Signal and communications theory, Signal processing, Signal, noise, small sample support, source localization, Spatial coherence, Subspaces, Telecommunications and information theory, Uncertainty, Vectors (mathematics)