基于约束恒模准则的盲自适应多址干扰抑制算法

A blind adaptive algorithm for multi-access interference suppression based on constrained constant modulus criterion

为克服基于恒模的盲自适应多址干扰抑制算法中,由于估计幅值选择不合适而造成算法不收敛的缺点,本文提出了几种自适应方法来跟踪目标用户的幅度,从而保证了算法的全局收敛,并提高了干扰抑制能力。计算机仿真结果证明了该方法的有效性与可行性。

In order to overcome no convergent drawback of the weigh vector due to choose the dispersion constant inaccurately in the blind adaptive constant modulus(CM) algorithm for multi-access interference(MAI) suppression, a few kinds of adaptive methods to track the desire user抯 amplitude are proposed in this paper. So the algorithm has the global convergence and its performance of multi-access interference suppression attains the best. Computer simulation results show that it is effective and feasible method.