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 :
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