一种噪声抑制的线性共轭多用户检测算法

A Noise Suppression Linear Conjugate Algorithm for Multi-user Detection

当权向量受到噪声的影响时,最小输出能量(MOE)检测器的性能将显著下降.针对这一问题,设计了一种噪声抑制的线性共轭MOE检测器.将约束最小均方(LMS)算法应用到新的MOE检测器,提出一种基于约束LMS的盲噪声抑制线性共轭MOE多用户检测算法.该算法消除了权向量中的噪声分量,利用了接收向量的复数共轭,从而提高了系统的输出信干噪比和误码率性能.仿真结果表明所提算法有较好的性能.

The performance of minimum output energy （MOE） detector will significantly degrade when the weight vector is affected by the noise. In order to resolve this problem, a noise suppression based linear conjugate MOE detector is designed. The constrained least mean square （LMS） algorithm is applied to the new MOE detector and a blind noise suppression based linear conjugate MOE multi-user detection algorithm based on constrained LMS is proposed. The proposed algorithm eliminates the noise in the weight vector and utilizes the complex conjugate of the received vector. Thus the output signal-to- interference-plus-noise-ratio （SINR＇） and bit error rate （BER） performance is improved. Simulation results demonstrate that the proposed algorithm is of better performance.