Robust DOA estimation based on an exponential hyperbolic cosine adaptive algorithm

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dc.contributor.author Joel, S.
dc.contributor.author Kumar, Krishna
dc.contributor.author George, Nithin V.
dc.coverage.spatial United States of America
dc.date.accessioned 2023-05-17T08:16:04Z
dc.date.available 2023-05-17T08:16:04Z
dc.date.issued 2023-05
dc.identifier.citation Joel, S.; Kumar, Krishna and George, Nithin V., "Robust DOA estimation based on an exponential hyperbolic cosine adaptive algorithm", IEEE Sensors Letters, DOI: 10.1109/LSENS.2023.3267784, vol. 7, no. 5, May 2023.
dc.identifier.issn 2475-1472
dc.identifier.uri https://doi.org/10.1109/LSENS.2023.3267784
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/8793
dc.description.abstract Direction-of-arrival (DOA) estimation methods based on conventional adaptive signal processing are not robust to outliers. A robust DOA estimation technique based on an exponential hyperbolic cosine function under such situations is proposed in this letter. To further enhance the performance of the proposed approach, a variable scale parameter strategy has been incorporated into the proposed scheme. The new methods have been shown to offer improved and robust DOA estimation performance.
dc.description.statementofresponsibility by S. Joel, Krishna Kumar and Nithin V. George
dc.format.extent vol. 7, no. 5
dc.language.iso en_US
dc.publisher Institute of Electrical and Electronics Engineers
dc.subject Sensor signal processing
dc.subject Adaptive filtering
dc.subject Alpha-stable noise
dc.subject Array signal processing
dc.subject EHCF
dc.title Robust DOA estimation based on an exponential hyperbolic cosine adaptive algorithm
dc.type Article
dc.relation.journal IEEE Sensors Letters


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