Different wideband direction of arrival (DOA) estimation methods: an overview
SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
Different wideband direction of arrival(DOA) estimation methods: an overview
CISST'09 Proceedings of the 3rd WSEAS international conference on Circuits, systems, signal and telecommunications
An overview of different wideband direction of arrival (DOA) estimation methods
WSEAS Transactions on Signal Processing
Different wideband direction of arrival (DOA) estimation methods: an overview
EHAC'09 Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication
IEEE Transactions on Signal Processing
A novel autofocusing approach for estimating directions-of-arrival of wideband signals
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Direction-of-arrival estimation using a mixed l2,0norm approximation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Derivative-constrained frequency-domain wideband DOA estimation
Multidimensional Systems and Signal Processing
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This paper introduces a new direction-of-arrival (DOA) estimation algorithm for wideband sources called test of orthogonality of projected subspaces (TOPS). This new technique estimates DOAs by measuring the orthogonal relation between the signal and the noise subspaces of multiple frequency components of the sources. TOPS can be used with arbitrary shaped one-dimensional (1-D) or two-dimensional (2-D) arrays. Unlike other coherent wideband methods, such as the coherent signal subspace method (CSSM) and WAVES, the new method does not require any preprocessing for initial values. The performance of those wideband techniques and incoherent MUSIC is compared with that of the new method through computer simulations. The simulations show that this new technique performs better than others in mid signal-to-noise ratio (SNR) ranges, while coherent methods work best in low SNR and incoherent methods work best in high SNR. Thus, TOPS fills a gap between coherent and incoherent methods.