Cyclostationarity-based DOA estimation algorithms for coherent signals in impulsive noise environments

Cyclostationarity-based DOA estimation algorithms for coherent signals in impulsive noise environments

Abstract Estimating direction of arrival (DOA) is important in a variety of practical applications. Conventional cyclostationarity-based coherent DOA estimation algorithms are not robust to non-Gaussian α-stable impulsive noise. Additionally, fractional lower-order statistics (FLOS)-based algorithms...

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Bibliographic Details
Main Authors: Yang Liu, Qiong Wu, Yinghui Zhang, Jing Gao, Tianshuang Qiu
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Cyclostationarity
Direction of arrival (DOA)
Coherent signals
Fractional lower-order statistics
α-Stable process
Online Access:http://link.springer.com/article/10.1186/s13638-019-1410-8

Internet

http://link.springer.com/article/10.1186/s13638-019-1410-8

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