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 reduction rank multi-user detection technique based on variable threshold subsampling algorithm is proposed. The variable rank subspace selection algorithm with variable threshold can get the appropriate rank-ordering subspace quickly, and the result is reusable. The simulation results show that the proposed algorithm can achieve the detection performance required by the system with lower computational complexity.