首页> 外文会议>International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN) >Blind Multiuser Detector Based on Reduced Rank Subspace and Least Square Constant Modulus Algorithm
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Blind Multiuser Detector Based on Reduced Rank Subspace and Least Square Constant Modulus Algorithm

机译:基于降秩子空间和最小二乘常数模算法的盲多用户检测器

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摘要

The blind multiuser detector based on reduced rank subspace and least square constant modulus algorithm (LSCM_RSUB) is proposed. Combining the global convergence and stability of least square constant modulus algorithm (LSCMA) and the good performance of subspace technology in multiuser detection (MUD), LSCM_RSUB shows good performances. Using the subspace-tracking algorithm, the optimal reduced rank subspace is obtained. The simulation results show that the LSCMRSUB achieves better performances than LSCMA and LSCM_SUB.
机译:提出了一种基于降秩子空间和最小二乘常数模算法(LSCM_RSUB)的盲多用户检测器。 LSCM_RSUB结合了最小二乘恒定模量算法(LSCMA)的全局收敛性和稳定性以及子空间技术在多用户检测(MUD)中的良好性能,表现出良好的性能。使用子空间跟踪算法,可以获得最优的降阶子空间。仿真结果表明,LSMCRSUB的性能优于LSCMA和LSCM_SUB。

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