Multiuser Channel Estimation Using Gaussian Mixture Sigma Point Particle Filter for CDMA System(Wireless Communication Technologies)
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概要
- 論文の詳細を見る
In this paper, a multiuser receiver based on a Gaussian Mixture Sigma Point Particle Filter (GMSPPF), which can be used for joint channel coefficient estimation and time delay tracking in CDMA communication systems, is introduced. The proposed algorithm has better improved estimation performance than either Extended Kalman Filter (EKF) or Particle Filter (PF). The Cramer-Rao Lower Bound (CRLB) is derived for the estimator, and the simulation result demonstrates that it is almost completely near-far resistant. For this reason, it is believed that the proposed estimator can replace well-known filters such as the EKF or PF.
- 社団法人電子情報通信学会の論文
- 2006-11-01
著者
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Kim Jang
School Of Information And Communication Engineering Sungkyunkwan University
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Shin Dong
School of Information and Communication Engineering Sungkyunkwan University
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Shin Ho
School Of Information And Communication Engineering Sungkyunkwan University
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Shin Dong
School Of Chemistry College Of Natural Sciences Seoul National University
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Kim Jang
School of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Korea
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SHIN Dong
School of Chemistry and Center for Molecular Catalysis, Seoul National University
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