Open AccessEfficient Adaptive Algorithms for DOA Estimation in Wireless Communications
Author(s) -
José G. Arceo-Olague,
David H. CovarrubiasRosales,
J. M. LunaRivera,
A. ANGELES-VALENCIA
Publication year - 2010
Publication title -
international journal of communications network and system sciences
Language(s) - English
Resource type - Journals
eISSN - 1913-3723
pISSN - 1913-3715
DOI - 10.4236/ijcns.2010.32024
Subject(s) - computer science , direction of arrival , algorithm , subspace topology , signal subspace , computational complexity theory , covariance matrix , multiple signal classification , singular value decomposition , wireless , real time computing , artificial intelligence , telecommunications , antenna (radio) , noise (video) , image (mathematics)
The problem of direction-of-arrival (DOA) estimation in mobile communication systems requires efficient algorithms with a high spatial resolution and a low computational complexity when moving sources are considered. MUSIC is known as a high resolution algorithm for DOA estimation but, this method demands high computational complexity to compute the signal subspace of the time-varying data of the correlation matrix. This paper focuses on MUSIC using subspace tracking methods, such as Bi-SVD and PAST, to carry out iterative DOA estimation. Accuracy and the processing time of both methods are evaluated and compared with the results of MUSIC. These results show the potential of Bi-SVD and PAST to reduce the processing time and to improve the accuracy when the number of snapshots and the source angular variation increases, assessing the source location for a dynamic mobile cellular environment
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom