QUADRILINEAR DECOMPOSITION-BASED BLIND SIGNAL DETECTION FOR POLARIZATION SENSITIVE UNIFORM SQUARE ARRAY
Author(s) -
Ying Shi,
Xiaofei Zhang
Publication year - 2008
Publication title -
electromagnetic waves
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 89
eISSN - 1559-8985
pISSN - 1070-4698
DOI - 10.2528/pier08102005
Subject(s) - polarization (electrochemistry) , square (algebra) , computer science , signal (programming language) , physics , optics , mathematics , chemistry , geometry , programming language
This paper links the polarization-sensitive-array signal detection problem to quadrilinear decomposition model. Exploiting this link, it generates a deterministic blind quadrilinear decomposition- based signal detection algorithm, which doesn't require DOA (direction of arrival) and polarization information and has blind and robust characteristics. The proposed algorithm fully utilizes the polarization, spatial and temporal diversity. The simulation results reveal that the performance of blind quadrilinear decomposition-based signal detection algorithm for polarization sensitive uniform square array is close to nonblind MMSE method, and even works better than trilinear decomposition algorithm.
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