DocumentCode
680868
Title
A Distribution Fitting Approach for Localization of Multiple Scattered Sources with Very Large Arrays
Author
Anzhong Hu ; Tiejun Lv
Author_Institution
Key Lab. of Trustworthy Distrib. Comput. & Service, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2013
fDate
18-20 Nov. 2013
Firstpage
453
Lastpage
457
Abstract
In this paper, a distribution fitting approach is proposed to estimate the angular parameters of multiple incoherently distributed sources with large antenna arrays. The estimator utilizes the approximate orthogonality of the array response vectors of large arrays to obtain a vector which is the superposition of the probability distributions of the direction-of-arrivals (DOAs) of the sources. Then, the angular parameters can be estimated by fitting distribution functions to this vector successively. Hence, the complexity of the proposed approach is much lower than that of other well-known estimators which require the fitting of a matrix. Analysis and numerical results show that the proposed estimator can achieve better performance than other estimators.
Keywords
MIMO systems; antenna arrays; array signal processing; direction-of-arrival estimation; probability; DOA; angular parameter estimation; array response vectors; direction-of-arrivals; distribution fitting approach; multiple incoherently distributed sources; multiple scattered sources; probability distributions; very large antenna arrays; Antenna arrays; Complexity theory; Covariance matrices; Direction-of-arrival estimation; Estimation; Vectors; Large-scale/massive multiple-input multiple-output (LS-MIMO/massive MIMO); angular spread; direction-of-arrival (DOA); incoherently distributed (ID) sources; localization; very large arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, MILCOM 2013 - 2013 IEEE
Conference_Location
San Diego, CA
Type
conf
DOI
10.1109/MILCOM.2013.84
Filename
6735664
Link To Document