Journal Article10.1016/S0165-1684(01)00121-9
Array self-calibration with large sensor position errors
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TL;DR: A new procedure is developed that has better performance for large estimation errors, and when used to initialize the Weiss and Friedlander (1991) MUSIC-based iterative technique, is seen significant improvement over existing techniques for both small and large errors.
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About: This article is published in Signal Processing. The article was published on 01 Oct 2001. The article focuses on the topics: Array processing & Estimation theory.
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Citations
Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
TL;DR: A framework of the deep neural network to address the DOA estimation problem, so as to obtain good adaptation to array imperfections and enhanced generalization to unseen scenarios andSimulations are carried out to show that the proposed method performs satisfyingly in both generalization and imperfection adaptation.
Calibration Challenges for Future Radio Telescopes
TL;DR: Calibration must solve for the unknown antenna gains and phases as well as the unknown atmospheric and ionospheric disturbances during calibration of radio astronomical instruments.
83
Calibration challenges for future radio telescopes
TL;DR: In this article, the authors propose a method to solve for the unknown antenna gains and phases as well as the unknown atmospheric and ionospheric disturbances in a large number of unknown parameters, even with appropriately constrained physical or phenomenological descriptions.
83
Fish-Eye Observing with Phased Array Radio Telescopes
Stefan J. Wijnholds
- 02 Mar 2010
TL;DR: In this article, the authors developed a calibration and imaging method based on least squares estimation of instrument and source parameters, which provides statistically and computationally efficient solutions to the problem of radio astronomy.
44
Passive Towed Array Shape Estimation Using Heading and Acoustic Data
TL;DR: In this article, a nonparametric noise field model is used to form field directionality maps for time-varying array shapes to exploit point and spatially spread sources, and a maximum-likelihood array shape estimate is derived where the shape is modeled as a polynomial in heading.
32
References
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H. Lee,R. Stovall +1 more
TL;DR: The problem of estimating the direction of arrival (DOA) of narrowband signals received from a single far-field source that transmits with an unknown polarization is addressed and identification of the maximum likelihood (ML) estimator of DOA for the two problems is identified.
Modeling and estimation of ambiguities in linear arrays
Athanassios Manikas,C. Proukakis +1 more
TL;DR: The theoretical aspects of the investigation are followed by the proposal of an innovative approach that calculates not only all such ambiguities existing in a linear array of arbitrary geometry but the rank of ambiguity in each case as well.