Joint Frequency Offset Estimation and Multiuser Detection Using Genetic Algorithm in MC-CDMA(Wireless Communication Technologies)
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概要
- 論文の詳細を見る
In order to simultaneously combat both of the inter-carrier interferences (ICIs) and multiple access interferences (MAIs) to achieve reliable performance in multi-carrier code division multiple access (MC-CDMA) systems, this letter proposes a maximum likelihood based scheme for joint frequency offset estimation and multiuser symbol detection. To reduce the computational complexity called for by the joint decision statistic without extra mechanisms, the genetic algorithm (GA) is employed to solve the nonlinear optimization involved. Due to the robustness of the GA, the joint decision statistic can be efficiently solved, and, as shown by furnished simulation results, the proposed approach can offer satisfactory performance in various scenarios.
- 社団法人電子情報通信学会の論文
- 2005-11-01
著者
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Lu Hoang‐yang
Huafan Univ. Taipei Twn
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FANG Wen-Hsien
Department of Electronic Engineering, National Taiwan University of Science and Technology
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Fang Wen-hsien
Department Of Electronic Engineering National Taiwan University Of Science And Technology
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Fang Wen‐hsien
National Taiwan Univ. Sci. And Technol. Taipei Twn
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Lu Hoang-yang
Department Of Electric Engineering Huafan University
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