Cai, J., Liang, Y., Liu, W. orcid.org/0000-0003-2968-2888 et al. (1 more author) (2020) Stochastic Cramer-Rao bound for DOA estimation with a mixture of circular and noncircular signals. IEEE Access, 8. pp. 226370-226379.
Abstract
The Cramer-Rao bound (CRB) offers insights into the inherent performance benchmark of any unbiased estimator developed for a specific parametric model, which is an important tool to evaluate the performance of direction-of-arrival (DOA) estimation algorithms. In this paper, a closed-form stochastic CRB for a mixture of circular and noncircular uncorrelated Gaussian signals is derived. As a general one, it can be transformed into some existing representative results. The existence condition of the CRB is also analysed based on sparse arrays, which allows the number of signals to be more than the number of physical sensors. Finally, numerical comparisons are conducted in various scenarios to demonstrate the validity of the derived CRB.
Metadata
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Copyright, Publisher and Additional Information: | © 2020 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | ||||
Keywords: | Cramer-Rao bound; direction of arrival; circular and noncircular; sparse arrays | ||||
Dates: |
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) | ||||
Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 30 Nov 2020 14:29 | ||||
Last Modified: | 02 Feb 2022 08:47 | ||||
Status: | Published | ||||
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1109/access.2020.3041009 |