摘要： 研究多载波CDMA(MC-CDMA)上行半盲多用户检测技术，对基于Chebyshev逼近算法实现的最小输出能量(MOE)盲多用户检测进行改进，提出MC-CDMA系统下一种基于子空间跟踪和Chebyshev逼近的自适应半盲多用户检测算法。该算法基于MOE线性检测器原理，充分利用小区内所有用户的扩频码，设计了一种基于MOE准则的半盲检测器，很好地消除了多址干扰。为了减少计算复杂度，将修正的PASTd算法应用于Chebyshev逼近算法估计MOE半盲检测器的最优权向量。该算法计算复杂度低，具有较好的抗多址干扰性能和检测性能。仿真结果验证了该算法的可行性和优越性。

关键词: 半盲多用户检测, Chebyshev逼近算法, 最小输出能量, 多载波

Abstract: This paper investigates the semi-blind multiuser detection for multicarrier CDMA (MC-CDMA) uplink, improves Chebyshev approximation implementation of the minimum output energy (MOE) blind multiuser detection and proposes an adaptive semi-blind multiuser detection algorithm based on subspace tracking and Chebyshev approximation for MC-CDMA uplink. On the basis of MOE linear detector, it designs a semi-blind multiuser detector based on the MOE principle by making use of the spreading sequences of all known users and effectively eliminates multiaccess interference. In order to reduce the computational complexity, the improved PASTd algorithm is applied to Chebyshev approximation algorithm to estimate the optimal weight vector of MOE semi-blind multiuser detector. The proposed algorithm has the low computational complexity, and excellent capability of eliminating multiple access interference and good detection performance. Simulation results are presented to demonstrate the superiority and feasibility of the proposed algorithm in practical applications.
【Key words】semi-blind multiuser detection; Chebyshev approximation algorithm; minimum output energy(MOE); multicarrier

Key words: semi-blind multiuser detection, Chebyshev approximation algorithm, minimum output energy

中图分类号: 

• TN911.7