Open AccessPolarisation smoothing for coherent source direction finding with multiple‐input and multiple‐output electromagnetic vector sensor array
Author(s) -
Zheng Guimei,
Wu Bo
Publication year - 2016
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2015.0535
Subject(s) - smoothing , covariance matrix , algorithm , mimo , covariance , sensor array , computer science , direction of arrival , rank (graph theory) , antenna array , radar , mathematics , beamforming , antenna (radio) , computer vision , telecommunications , statistics , machine learning , combinatorics
This study proposes a new polarisation smoothing algorithm with multiple‐input and multiple‐output (MIMO) electromagnetic vector sensor array to address the problem of coherent source angle estimation in MIMO radar. This algorithm can be summarised as follows: (i) matched filtering for echoes is performed to get virtual MIMO array; (ii) the virtual array is divided into six spatially identical subarrays according to polarisation information offered by electromagnetic vector sensor; and (iii) the six subarrays covariance matrices are processed with weighted smoothing to obtain polarisation smoothing covariance matrix, which can restore the rank loss of the covariance matrix of coherent sources. When compared with spatial smoothing, the proposed algorithm is suitable for spatially arbitrary array configuration, without the price of reducing effective array aperture. Simulation results show that the proposed algorithm substantially outperforms the spatial smoothing algorithm.