Effective Method for Mixed-Field Localization in the Presence of Impulsive Noise

An effective method for mixed-field localization in the presence of impulsive noise is proposed in this letter. For direction of arrival (DOA) estimation of all sources, we construct a covariance domain based vector and utilize a correntropy based sparse reconstruction to solve this problem under im...

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Bibliographic Details
Published in:IEEE communications letters 2019-11, Vol.23 (11), p.1977-1980
Main Authors: Zhang, Jiacheng, Qiu, Tianshuang, Luan, Shengyang
Format: Article
Language:English
Subjects:
Algorithms
bounded non-linear function
Computational complexity
Computer simulation
correntropy
Cost function
Covariance
Direction of arrival
Direction-of-arrival estimation
Estimation
impulsive noise
Kernel
Localization
Mixed-field localization
Noise
Sensors
sparse signal reconstruction
Two dimensional displays
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Summary:An effective method for mixed-field localization in the presence of impulsive noise is proposed in this letter. For direction of arrival (DOA) estimation of all sources, we construct a covariance domain based vector and utilize a correntropy based sparse reconstruction to solve this problem under impulsive noise. Then, for range estimation and sources distinguishment, we first utilize a bounded non-linear covariance to extract noise subspace and then apply a Root-MUSIC like method to solve the problem with lower computational complexity. Comprehensive simulations and theoretical analysis are provided to verify the efficiency of the proposed algorithm.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2019.2939465