DocumentCode :
2182451
Title :
Novel AoA estimation method using delay profile in downlink
Author :
Hayashi, Teruaki ; Nakano, M. ; Yamaguchi, Akira
Author_Institution :
KDDI R&D Labs., Fujimino, Japan
fYear :
2013
fDate :
4-6 March 2013
Firstpage :
35
Lastpage :
38
Abstract :
In LTE (Long Term Evolution) or LTE-Advanced, MIMO (multiple-input, multiple-output) techniques have the potential to realize high throughput. In order to design and evaluate MIMO system, it is necessary to clarify the space-time path model at mobile station. By clarifying the propagation structure from AoA (angle-of-arrival) estimation it is possible to estimate the performance of MIMO system based on the real environment. AoA estimation accuracy is deteriorated by the constraint of the degree of freedom of the array antenna in multipath environment due to the increase in the incident wave. Therefore, we propose the method to separate each incident wave using the delay profile estimation and apply to the AoA estimation. Since AoA estimation is performed for each separate path, it is possible to overcome the constraint of the degree of freedom of the array antenna. As a result, it is expected to improve the estimation accuracy. The effectiveness of the proposed method is proved by computer simulation.
Keywords :
Long Term Evolution; MIMO communication; antenna arrays; direction-of-arrival estimation; multipath channels; telecommunication links; AoA estimation accuracy; LTE-Advanced; angle-of-arrival estimation; array antenna; computer simulation; degree of freedom; delay profile estimation; downlink; incident wave; long term evolution; mobile station; multipath environment; multiple-input multiple-output techniques; propagation structure; real environment-based MIMO system; space-time path model; Accuracy; Antenna arrays; Arrays; Delays; Estimation; Long Term Evolution; MIMO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antenna Technology (iWAT), 2013 International Workshop on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-2830-2
Electronic_ISBN :
978-1-4673-2829-6
Type :
conf
DOI :
10.1109/IWAT.2013.6518293
Filename :
6518293
Link To Document :
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