关键词: 递归最小二乘（RLS）, 约束最小输出能量（CMOE）, 盲自适应多用户检测, 信干比（SIR）, 剩余输出能量（EOE）, 误码率（BER）, 多用户干扰

Abstract: A blind adaptive recursive least squares multiuser detection algorithm based on Constrained Minimum Output Energy（CMOE） criterion is proposed to cope with the numerical instability and slow convergence rate of normal Recursive Least Squares（RLS） algorithm. This algorithm is a combination of CMOE criterion and normal RLS algorithm. Detailed simulation is carried out to compare the?proposed?algorithm with the normal RLS algorithm in the aspects of Signal Interference Ratio（SIR）, Excess Output Energy（EOE） and Bit Error Rate（BER） under conditions of both static and dynamic. Simulation results show that the algorithm is performed with more dynamic tracking ability, faster convergence speed and better stability.

Key words: Recursive Least Squares（RLS）, Constrained Minimum Output Energy（CMOE）, blind adaptive multiuser detection, Signal Interference Ratio（SIR）, Excess Output Energy（EOE）, Bit Error Rate（BER）, multiuser interference