A Subspace Semi-Blind Adaptive Multiuser Detection Algorithm Based on Kalman Filter for MC-CDMA Uplink

摘要：

In this paper, a new subspace semi-blind adaptive multuser detection based on a hybrid of Kalman filter and subspace estimation is proposed for MC-CDMA uplink. It is shown that the detector can be expressed as an anchored signal in the signal subspace and coefficients can be estimated by the Kalman filter. The spreading sequences of all known users are exploited to develop a new efficient semi-blind adaptive multiuser detection requiring fewer adaptive coefficients. To reduce the computational complexity, an improved projecting approximation subspace tracking with deflation (PASTd) algorithm is developed for adaptive signal subspace estimation. Simulation results demonstrate that the proposed semi-blind multiuser detection offers substantial performance gains over the blind multiuser detection method in the MC-CDMA uplink environment.

关键词： semi-blind multiuser detection Kalman filter PASTd MC-CDMA

作者: Yan Meng Jinkuan Wang Yinghua Han Jun Zhu

作者单位: School of Information Science & Engineering Northeastern University,Shenyang China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）