A new adaptive multi-user detector based on subspace tracking (sp) was proposed, which doesn't need initial matrix and has similar performance as classic algorithm with large computational complexity.
提出了一种新的基于子空间跟踪(SP)的自适应多用户检测算法，不需计算初始矩阵，并且检测性能接近高复杂度的经典算法。
Kalman has already replaced the classic Wiener filter theory for it can not meet the development of modern target tracking system.
目前卡尔曼滤波理论基本上取代了维纳滤波理论，经典的维纳滤波方法基本上不适应现代目标跟踪系统的需求。
Kalman has already replaced the classic Wiener filter theory for it can not meet the development of modern target tracking system.
目前卡尔曼滤波理论基本上取代了维纳滤波理论，经典的维纳滤波方法基本上不适应现代目标跟踪系统的需求。
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