一种改进的降秩子空间盲多用户检测

An Improved Blind Multi-user Detection Based on Reduced-Rank Subspace

提出了一种基于可变阈值的降秩子空间选择算法的盲降秩多用户检测技术。采用可变阈值的降秩子空间选择算法,能较快得到合适的降秩子空间,且计算结果具有可重用性。仿真结果表明,该算法能用较低的计算复杂度达到系统要求的检测性能。

A blind reduced-rank multi-user detector （MUD） based on a new reduced-rank subspace selection algorithm via variable threshold is provided. By using the new reduced-rank subspace selection algorithm, the proper reduced-rank subspace is obtained quickly and the result can be reused. The simulation results indicate that the reduced-rank subspace selection method based on variable threshold can achieve the desired system performance with the lower computational complexity.