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2-D DOA tracking using variational sparse Bayesian learning embedded with Kalman filter

Crossref DOI link: https://doi.org/10.1186/s13634-018-0541-0

Published Online: 2018-04-13

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Huang, Qinghua

Huang, Jingbiao

Liu, Kai

Fang, Yong
Funding

Funding for this research was provided by:

the Shanghai Science and Technology Commission Scientific Research Project (16010500100)

the National Natural Science Foundation (61571279)
License Information

Text and Data Mining valid from 2018-04-13
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Article History

Received: 24 May 2017

Accepted: 15 March 2018

First Online: 13 April 2018

Competing interests

: The authors declare that they have no competing interests.

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