A Negentropy Minimization Approach to Adaptive Beamforming Assisted Receivers

Sooyong CHOI; Jong-Moon CHUNG

doi:10.1093/ietcom/e90-b.11.3283

A Negentropy Minimization Approach to Adaptive Beamforming Assisted Receivers

Sooyong CHOI, Jong-Moon CHUNG

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In this letter, we introduce a new adaptive beamforming assisted receiver based on minimizing the approximate negentropy (NEGMIN) of the estimation error. We consider the approximate negentropy by using a nonpolynomial expansion of the estimation error as a new performance criterion to improve the performance of adaptive beamforming receivers based on the minimizing minimum mean squared error (MMSE) criteria. Negentropy includes higher order statistical information and its minimization provides improved converge, performance, and accuracy compared to traditional methods such as MMSE in terms of bit error rate (BER).

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.11 pp.3283-3286

Publication Date: 2007/11/01

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Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.11.3283

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Sooyong CHOI, Jong-Moon CHUNG, "A Negentropy Minimization Approach to Adaptive Beamforming Assisted Receivers" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 11, pp. 3283-3286, November 2007, doi: 10.1093/ietcom/e90-b.11.3283.
Abstract: In this letter, we introduce a new adaptive beamforming assisted receiver based on minimizing the approximate negentropy (NEGMIN) of the estimation error. We consider the approximate negentropy by using a nonpolynomial expansion of the estimation error as a new performance criterion to improve the performance of adaptive beamforming receivers based on the minimizing minimum mean squared error (MMSE) criteria. Negentropy includes higher order statistical information and its minimization provides improved converge, performance, and accuracy compared to traditional methods such as MMSE in terms of bit error rate (BER).
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.11.3283/_p

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@ARTICLE{e90-b_11_3283,
author={Sooyong CHOI, Jong-Moon CHUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Negentropy Minimization Approach to Adaptive Beamforming Assisted Receivers},
year={2007},
volume={E90-B},
number={11},
pages={3283-3286},
abstract={In this letter, we introduce a new adaptive beamforming assisted receiver based on minimizing the approximate negentropy (NEGMIN) of the estimation error. We consider the approximate negentropy by using a nonpolynomial expansion of the estimation error as a new performance criterion to improve the performance of adaptive beamforming receivers based on the minimizing minimum mean squared error (MMSE) criteria. Negentropy includes higher order statistical information and its minimization provides improved converge, performance, and accuracy compared to traditional methods such as MMSE in terms of bit error rate (BER).},
keywords={},
doi={10.1093/ietcom/e90-b.11.3283},
ISSN={1745-1345},
month={November},}

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TY - JOUR
TI - A Negentropy Minimization Approach to Adaptive Beamforming Assisted Receivers
T2 - IEICE TRANSACTIONS on Communications
SP - 3283
EP - 3286
AU - Sooyong CHOI
AU - Jong-Moon CHUNG
PY - 2007
DO - 10.1093/ietcom/e90-b.11.3283
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2007
AB - In this letter, we introduce a new adaptive beamforming assisted receiver based on minimizing the approximate negentropy (NEGMIN) of the estimation error. We consider the approximate negentropy by using a nonpolynomial expansion of the estimation error as a new performance criterion to improve the performance of adaptive beamforming receivers based on the minimizing minimum mean squared error (MMSE) criteria. Negentropy includes higher order statistical information and its minimization provides improved converge, performance, and accuracy compared to traditional methods such as MMSE in terms of bit error rate (BER).
ER -