
Real‐valued localisation algorithm for near‐field non‐circular sources
Author(s) -
Xie Jian,
Tao Haihong,
Rao Xuan,
Su Jia
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.0454
Subject(s) - algorithm , estimator , computation , covariance matrix , basis (linear algebra) , rank (graph theory) , property (philosophy) , mathematics , range (aeronautics) , covariance , reduction (mathematics) , direction of arrival , matrix (chemical analysis) , field (mathematics) , manifold (fluid mechanics) , computer science , statistics , geometry , engineering , telecommunications , mechanical engineering , philosophy , materials science , epistemology , combinatorics , antenna (radio) , pure mathematics , composite material , aerospace engineering
A novel real‐valued near‐field localisation algorithm for non‐circular sources is proposed using the uniform linear array. On the basis of non‐circularity of signals, an extended real‐valued covariance matrix is constructed. Then, utilising the symmetric property of the extended array manifold, the direction of arrival and range parameters are obtained by two one‐dimensional rank reduction estimators. The proposed algorithm is efficient in that it only requires second‐order statistics (SOS) and real‐valued computations. Moreover, it can improve the estimation accuracy and resolve more sources than the conventional SOS‐based methods.