Adaptive Forgetting Factor Subarray RLS Beamforming for Multipath Environments
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概要
- 論文の詳細を見る
This letter presents an efficient adaptive beamformer to deal with the multipath environments created by signal source scatterings. To improve the performance possible with the fixed forgetting factor, the regular adaptive forgetting factor algorithm is derived and applied to the subarray recursive least squares (RLS) beamforming. Simulations confirm that the proposed scheme has better performance than not only the conventional RLS algorithm but also the subarray RLS and adaptive forgetting factor RLS algorithms.
- （社）電子情報通信学会の論文
- 2008-10-01
著者
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CHANG Ann-Chen
Department of Information Technology, Ling Tung University
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Hsu Chun
Department Of Electrical Engineering National Dong Hwa University
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Chang Ann‐chen
Ling Tung Univ. Taichung Twn
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Chang Ann-chen
Department Of Electrical Engineering Chung Cheng Institute Of Technology National Defense University
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Su Ing‐jiunn
Department Of Electrical And Electronic Engineering Chung Cheng Institute Of Technology National Def
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SU Ing-Jiunn
Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National D
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Su Ing-jiunn
Department Of Electrical And Electronic Engineering Chung Cheng Institute Of Technology National Def
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Hsu Chun
Department Of Electrical And Electronic Engineering Chung Cheng Institute Of Technology National Def
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