一种联合均衡和多用户检测的SDCMA盲算法

该文提出了用于MC DS-CDMA系统中的两种SDCMA(最陡下降常模算法)盲检测方法，一种是SDCMA盲均衡算法，在此基础上，提出了另一种联合均衡和多用户检测的SDCMA盲算法。同时还将这两种算法与基于子空间的MMSE(最小均方误差)盲检测算法进行比较。仿真结果表明，这两种SDCMA算法的BER(误比特率)性能均优于子空间法，而且联合均衡和多用户检测的SDCMA盲算法利用同时对均衡权值向量和多用户检测器向量进行自适应更新，能较大程度地改善系统性能，是这3种盲算法中性能最佳的一个。

A Blind Joint Equalization and Multiuser Detection SDCMA Algorithm

This paper suggests two Steepest Decreasing Constant Modulus Algorithm (SDCMA) blind detection schemes for MultiCarrier Direct Sequence-Code Division Multiple Access (MC DS-CDMA) systems, one of which is the SDCMA blind equalization, and based on the former, the other of which is proposed, i.e., the blind joint equalization and multiuser detection SDCMA algorithm. The two SDCMA schemes and subspace-based Minimum Mean-Squared Error (MMSE) detection are compared in the paper. The simulation results show that Bit Error Rate (BER) performances of the two SDCMA schemes are both superior to that of the subspace-based scheme, and the joint SDCMA scheme, which takes advantage of renewing the equalization weight vector and the multiuser detector vector at the same time, greatly improves system performance and is the best of the three schemes.