A Negentropy Minimization Approach to Adaptive Beamforming Assisted Receivers(Wireless Communication Technologies)
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概要
- 論文の詳細を見る
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).
- 社団法人電子情報通信学会の論文
- 2007-11-01
著者
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Choi Sooyong
Yonsei Univ. Seoul Kor
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Choi Sooyong
School Of Electrical And Electronic Engineering Yonsei Univ.
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Chung Jong-Moon
School of Electrical & Electronic Engineering, Yonsei University
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Chung Jong-moon
School Of Electrical And Electronic Engineering Yonsei University
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