摘要
文中详细地介绍了正交投影子空间跟踪算法(OPAST),它是一种基于最优化问题的方法,保证了每次迭代时权向量的正交性,并具有和PAST算法一样的线性复杂度,以及与自然幂法(NP)一样的全局收敛性。然而将其应用于盲多用户检测时,在迭代一定次数后,会出现误码率突然增大现象,这就导致了算法性能的下降,为了解决这一问题,文中提出一种方法,并通过仿真结果,证明它是行之有效的。
The orthonormal projection approximation and subspace tracking algorithm (OPAST) is introduced. It is a kind of method based on the theory of optimum. It guarantees the orthonormality of the weight matrix at each iteration. Moreover it has a linear complexity like the PAST algorithm and a global convergence property like the natural power (NP) method. However it can appear suddenly increase ber phenomenon after a certain numbem of iteration, when it is applied to the blind muhiuser detection.It lead to decline in the performance.In order to solve this problem, this paper puts forward a method, and prove it is effective through the results of the simulation.
出处
《电子设计工程》
2012年第13期101-103,107,共4页
Electronic Design Engineering