应用Khatri-Rao积分解的DS-CDMA盲多用户检测

Blind Multiuser Detection for DS-CDMA Systems Using Khatri-Rao Product Decomposition

对多用户直接序列码分多址(DS-CDMA)系统的多用户检测进行了研究,提出了一种基于Khatri-Rao积分解和连续干扰抵消的KRPSIC盲多用户检测算法。该算法充分利用DS-CDMA系统接收信号所具有的Khatri-Rao积结构性质,在用户扩频码、信道衰落系数均未知的情况下实现多用户检测,证明了算法的可辨识性和单调收敛性。仿真结果表明KRPSIC算法的误码率性能接近非盲的迫零算法,其作为一种非浅性迭代算法,在多用户检测的过程中对迭代初值的选取不敏感,当使用随机值初始化时算法依然有效。

A new blind multiuser detection algorithm for multiuser direct-sequence code-division multiple access（DS-CDMA） systems,named KRPSIC,is proposed.Based on the Khatri-Rao product（KRP） decomposition and successive interference cancellation（SIC）,the structure property of Khatri-Rao product in received signals is exploited to achieve multiuser detection without any knowledge of users＇ spreading sequences and channel fading coefficients.The identifiability and monotone convergence results of the proposed algorithm are demonstrated.Simulation results show that the bit error（BER） performance of KRPSIC is close to that of non-blind zero forcing（ZF） algorithm.As a kind of nonlinear iteration algorithm,KRPSIC algorithm is not sensitive to the initial value of the iteration,and it still works well when it is initialized with random values.