Adaptive Direction-of-Arrival Estimation in Array Signal Processing
نویسندگان
چکیده
منابع مشابه
Array Signal Processing for Maximum Likelihood Direction-of-Arrival Estimation
Estimation of the emitters’ directions with an antenna array, or Direction-of-Arrival (DOA) estimation, is an essential problem in a large variety of applications such as radar, sonar, mobile communications, and seismic exploration, because it is a major method for location determination. In wireless communications, DOA estimation may significantly improve communication efficiency and network c...
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We consider the e ects of multipath on three array signal processing algorithms for direction of arrival (DOA) estimation. We adopt a model in which the source signals impinge on an array of sensors over a spread of angles. Such a scenario arises in mobile telecommunications, where the angular spread is caused by multipath from a large number of scatterers local to each source. We analyze the e...
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Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...
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In MIMO communications systems, the data has a natural multidimensional structure composed of time, frequency and space dimensions. Recently, multidimensional techniques that take into account the data multidimensional structure have been proposed for model order selection, parameter estimation and prewhitening. These multidimensional techniques require an array with a PARAFAC structure. Howeve...
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1057 Abstract—This paper presents the use of Inverse Free Krylov Subspace Algorithm (IFKSA) with Estimation of Signal Parameter via Rotational Invariance Technique (ESPRIT), for Direction-of-Arrival (DOA) estimation using a Sparse Linear Array (SLA) of antenna elements. The use of SLA reduces the hardware requirements and the production cost. The SLA generates the sparse data, the pure signal s...
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ژورنال
عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
سال: 2004
ISSN: 2188-4730,2188-4749
DOI: 10.5687/sss.2004.223