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提出了一种基于奇异值和奇异向量的盲自适应多用户检测方法。传统的基于子空间的多用户检测方法需要估计信号子空间的特征值和特征向量 ,收敛速度较慢。这种新方法通过信号子空间的奇异值和奇异向量得到 CDMA系统的线性最小均方误差 (MMSE)多用户检测器。论文采用FST算法跟踪信号子空间的奇异值和奇异向量 ,并通过信号能量和噪声能量比值来确定信号子空间的阶数 ,使得多用户检测器能够很快地收敛 ,多用户检测器的输出信噪比很高 ,达到很好的多用户检测效果。
A blind adaptive multi-user detection method based on singular value and singular vector is proposed. The traditional subspace-based multiuser detection method needs to estimate the eigenvalues and eigenvectors of the signal subspace, and the convergence speed is slow. The new method obtains the linear minimum mean square error (MMSE) multi-user detector of CDMA system through the singular value and singular vector of signal subspace. In this paper, the singular value and singular vector of signal subspace are tracked by FST algorithm, and the order of signal subspace is determined by the ratio of signal energy to noise energy so that the multiuser detector can converge quickly. The output signal of multiuser detector High noise ratio, to achieve good multi-user detection.