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IEICE TRANSACTIONS on Communications

Generalization of MUSIC Using Extended Array Mode Vector for Joint Estimation of Instantaneous DOA and Angular Spread

Jung-Sik JEONG, Kei SAKAGUCHI, Kiyomichi ARAKI, Jun-ichi TAKADA

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Summary :

Recently the effect of the angular spread caused by locally scattered signals in the vicinity of the mobile has received considerable attention. This paper proposes the Extended Array Mode Vector (EAMV) which represents the Instantaneous Angular Spread (IAS) as well as the Instantaneous Direction Of Arrival (IDOA) of the received signal at the Base Station (BS). Using the EAMV, MUSIC algorithm is generalized in order that it is possible to estimate both the IDOA and the IAS. In computer simulations, the estimates of the IDOA and the IAS in the fading situation are evaluated. The results show that the estimates for small angular spread agree well with the given values and demonstrate the validity of the proposed approach.

Publication
IEICE TRANSACTIONS on Communications Vol.E84-B No.7 pp.1781-1789
Publication Date
2001/07/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Issue on Adaptive Array Antenna Techniques for Advanced Wireless Communications)
Category
Adaptive Algorithms and Experiments

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