Oblique Projections for Direction-of-Arrival Estimation With Prior Knowledge

• Published in: IEEE transactions on signal processing Vol. 56; no. 4; pp. 1374 - 1387
• Main Authors: Boyer, R., Bouleux, G.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.04.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Blocking; Computer Science; Conferences; Covariance; Cramer-Rao bounds; CramÉr-Rao bound; Detection, estimation, filtering, equalization, prediction; Direction of arrival estimation; Engineering Sciences; Exact sciences and technology; Information, signal and communications theory; Manifolds; Multiple signal classification; MUSIC algorithm; orthogonal and oblique projectors; Passive radar; Position (location); Position measurement; prior knowledge of DOA; Projection; Radar applications; Seismology; Sensor arrays; Signal and communications theory; Signal and Image processing; Signal to noise ratio; Signal, noise; Sonar; Steering; Studies; Telecommunications and information theory; Direction-of-arrival estimation; Parameter estimation; Signal estimation; Subspace method; MUSIC algorithm; Algorithm; orthogonal and oblique projectors; Orthogonal projection; Covariance; Source localization; A priori estimation; prior knowledge of DOA; Antenna array; Target detection; Cramér-Rao bound; Cramer Rao inequality; Signal to noise ratio

Estimation of directions-of-arrival (DOA) is an important problem in various applications and a priori knowledge on the source location is sometimes available. To exploit this information, standard methods are based on the orthogonal projection of the steering manifold onto the noise subspace associ...