IEICE TRANSACTIONS on Communications
Accurate Source Number Detection Using Pre-Estimated Signal Subspace
Summary :
This paper presents a scheme for accurately detecting the number of incident waves arriving at array antennas. The array antenna and MIMO techniques are developing as 4th generation mobile communication systems and wireless LAN technologies, and the accurate estimation of the propagation environment is becoming more important. This paper emphasizes the accurate detection of the number of incident waves; one of the important characteristics in multidirectional communication. There are some recent papers on accurate detection but they have problems of estimation accuracy or computational cost in severe environment like low SNR, small number of snapshots or waves with close angles. Hence, AIC and MDL methods based on statistics and information theory are still often used. In this paper, we propose an accurate estimation method of the number of arrival signals using the orthogonality of subspaces derived from preliminary estimation of signal subspace. The proposed method accurately estimates the number of signals also in severe environments where AIC and MDL methods can hardly estimate. We evaluate the performance of these methods through some computer simulation and experiments in anechoic chamber.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E89-B No.12 pp.3257-3265
- Publication Date
- 2006/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e89-b.12.3257
- Type of Manuscript
- Special Section PAPER (Special Section on Software Defined Radio Technology and Its Applications)
- Category
Authors
Keyword
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Yoshihisa ISHIKAWA, Koichi ICHIGE, Hiroyuki ARAI, "Accurate Source Number Detection Using Pre-Estimated Signal Subspace" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 12, pp. 3257-3265, December 2006, doi: 10.1093/ietcom/e89-b.12.3257.
Abstract: This paper presents a scheme for accurately detecting the number of incident waves arriving at array antennas. The array antenna and MIMO techniques are developing as 4th generation mobile communication systems and wireless LAN technologies, and the accurate estimation of the propagation environment is becoming more important. This paper emphasizes the accurate detection of the number of incident waves; one of the important characteristics in multidirectional communication. There are some recent papers on accurate detection but they have problems of estimation accuracy or computational cost in severe environment like low SNR, small number of snapshots or waves with close angles. Hence, AIC and MDL methods based on statistics and information theory are still often used. In this paper, we propose an accurate estimation method of the number of arrival signals using the orthogonality of subspaces derived from preliminary estimation of signal subspace. The proposed method accurately estimates the number of signals also in severe environments where AIC and MDL methods can hardly estimate. We evaluate the performance of these methods through some computer simulation and experiments in anechoic chamber.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.12.3257/_p
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@ARTICLE{e89-b_12_3257,
author={Yoshihisa ISHIKAWA, Koichi ICHIGE, Hiroyuki ARAI, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Source Number Detection Using Pre-Estimated Signal Subspace},
year={2006},
volume={E89-B},
number={12},
pages={3257-3265},
abstract={This paper presents a scheme for accurately detecting the number of incident waves arriving at array antennas. The array antenna and MIMO techniques are developing as 4th generation mobile communication systems and wireless LAN technologies, and the accurate estimation of the propagation environment is becoming more important. This paper emphasizes the accurate detection of the number of incident waves; one of the important characteristics in multidirectional communication. There are some recent papers on accurate detection but they have problems of estimation accuracy or computational cost in severe environment like low SNR, small number of snapshots or waves with close angles. Hence, AIC and MDL methods based on statistics and information theory are still often used. In this paper, we propose an accurate estimation method of the number of arrival signals using the orthogonality of subspaces derived from preliminary estimation of signal subspace. The proposed method accurately estimates the number of signals also in severe environments where AIC and MDL methods can hardly estimate. We evaluate the performance of these methods through some computer simulation and experiments in anechoic chamber.},
keywords={},
doi={10.1093/ietcom/e89-b.12.3257},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - Accurate Source Number Detection Using Pre-Estimated Signal Subspace
T2 - IEICE TRANSACTIONS on Communications
SP - 3257
EP - 3265
AU - Yoshihisa ISHIKAWA
AU - Koichi ICHIGE
AU - Hiroyuki ARAI
PY - 2006
DO - 10.1093/ietcom/e89-b.12.3257
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2006
AB - This paper presents a scheme for accurately detecting the number of incident waves arriving at array antennas. The array antenna and MIMO techniques are developing as 4th generation mobile communication systems and wireless LAN technologies, and the accurate estimation of the propagation environment is becoming more important. This paper emphasizes the accurate detection of the number of incident waves; one of the important characteristics in multidirectional communication. There are some recent papers on accurate detection but they have problems of estimation accuracy or computational cost in severe environment like low SNR, small number of snapshots or waves with close angles. Hence, AIC and MDL methods based on statistics and information theory are still often used. In this paper, we propose an accurate estimation method of the number of arrival signals using the orthogonality of subspaces derived from preliminary estimation of signal subspace. The proposed method accurately estimates the number of signals also in severe environments where AIC and MDL methods can hardly estimate. We evaluate the performance of these methods through some computer simulation and experiments in anechoic chamber.
ER -
English
