Estimation of Direction of Arrival Using Weighted Subspace Fitting for Wireless Communications
Summary :
Estimation of unknown signal parameters with sensor array measurements has been investigated quite extensively. Also, there has been in recent years an explosive increase in the number of mobile users in wireless cellular systems, thus contributing to growing levels of multi-user interference. To overcome this problem, application of adaptive antenna array techniques to further increase the channel capacity has been discussed. In this paper, a new model of locally scattered signals in the vicinity of mobiles is proposed by defining the mean steering vector and manipulate it mathematically for several distributions. Under this model an estimation method of the direction of arrival is investigated based on a weighted subspace fitting technique. Statistical analysis and simulations are also considered.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.9 pp.3717-3724
- Publication Date
- 2005/09/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.9.3717
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Suk Chan KIM, Iickho SONG, "Estimation of Direction of Arrival Using Weighted Subspace Fitting for Wireless Communications" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 9, pp. 3717-3724, September 2005, doi: 10.1093/ietcom/e88-b.9.3717.
Abstract: Estimation of unknown signal parameters with sensor array measurements has been investigated quite extensively. Also, there has been in recent years an explosive increase in the number of mobile users in wireless cellular systems, thus contributing to growing levels of multi-user interference. To overcome this problem, application of adaptive antenna array techniques to further increase the channel capacity has been discussed. In this paper, a new model of locally scattered signals in the vicinity of mobiles is proposed by defining the mean steering vector and manipulate it mathematically for several distributions. Under this model an estimation method of the direction of arrival is investigated based on a weighted subspace fitting technique. Statistical analysis and simulations are also considered.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.9.3717/_p
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@ARTICLE{e88-b_9_3717,
author={Suk Chan KIM, Iickho SONG, },
journal={IEICE TRANSACTIONS on Communications},
title={Estimation of Direction of Arrival Using Weighted Subspace Fitting for Wireless Communications},
year={2005},
volume={E88-B},
number={9},
pages={3717-3724},
abstract={Estimation of unknown signal parameters with sensor array measurements has been investigated quite extensively. Also, there has been in recent years an explosive increase in the number of mobile users in wireless cellular systems, thus contributing to growing levels of multi-user interference. To overcome this problem, application of adaptive antenna array techniques to further increase the channel capacity has been discussed. In this paper, a new model of locally scattered signals in the vicinity of mobiles is proposed by defining the mean steering vector and manipulate it mathematically for several distributions. Under this model an estimation method of the direction of arrival is investigated based on a weighted subspace fitting technique. Statistical analysis and simulations are also considered.},
keywords={},
doi={10.1093/ietcom/e88-b.9.3717},
ISSN={},
month={September},}
Copy
TY - JOUR
TI - Estimation of Direction of Arrival Using Weighted Subspace Fitting for Wireless Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 3717
EP - 3724
AU - Suk Chan KIM
AU - Iickho SONG
PY - 2005
DO - 10.1093/ietcom/e88-b.9.3717
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2005
AB - Estimation of unknown signal parameters with sensor array measurements has been investigated quite extensively. Also, there has been in recent years an explosive increase in the number of mobile users in wireless cellular systems, thus contributing to growing levels of multi-user interference. To overcome this problem, application of adaptive antenna array techniques to further increase the channel capacity has been discussed. In this paper, a new model of locally scattered signals in the vicinity of mobiles is proposed by defining the mean steering vector and manipulate it mathematically for several distributions. Under this model an estimation method of the direction of arrival is investigated based on a weighted subspace fitting technique. Statistical analysis and simulations are also considered.
ER -
English
