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In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the *split* RLS algorithm. In order to reduce the estimation error caused by the correlation between the *splitted* blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E84-B No.3 pp.589-594

- Publication Date
- 2001/03/01

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- PAPER

- Category
- Fundamental Theories

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Iltaeck JOO, Kiseon KIM, "A Low Complexity Adaptive Beamforming Using the Split RLS Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 3, pp. 589-594, March 2001, doi: .

Abstract: In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the *split* RLS algorithm. In order to reduce the estimation error caused by the correlation between the *splitted* blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.

URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_3_589/_p

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@ARTICLE{e84-b_3_589,

author={Iltaeck JOO, Kiseon KIM, },

journal={IEICE TRANSACTIONS on Communications},

title={A Low Complexity Adaptive Beamforming Using the Split RLS Algorithm},

year={2001},

volume={E84-B},

number={3},

pages={589-594},

abstract={In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the *split* RLS algorithm. In order to reduce the estimation error caused by the correlation between the *splitted* blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.},

keywords={},

doi={},

ISSN={},

month={March},}

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TY - JOUR

TI - A Low Complexity Adaptive Beamforming Using the Split RLS Algorithm

T2 - IEICE TRANSACTIONS on Communications

SP - 589

EP - 594

AU - Iltaeck JOO

AU - Kiseon KIM

PY - 2001

DO -

JO - IEICE TRANSACTIONS on Communications

SN -

VL - E84-B

IS - 3

JA - IEICE TRANSACTIONS on Communications

Y1 - March 2001

AB - In this paper, a novel adaptive beamforming scheme is described. This scheme basically employs the GSC algorithm which is one of the famous adaptive interference suppression schemes. The implementation of the GSC algorithm requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC algorithm based on the *split* RLS algorithm. In order to reduce the estimation error caused by the correlation between the *splitted* blocks, the modified GSC is employed with Walsh blocking matrix instead of Bi-diagonal one. In conclusion, the SINR of the proposed method is very close to the SINR obtained by the full tap solution, e.g. when the system complexity decreases nearly half, the SINR of the proposed method becomes 1 dB worse than that of full tap solution.

ER -