脉冲噪声环境中自适应阵列对信号的跟踪

Signal tracking with adaptive array in impulse noise environment

以alpha稳定分布作为无线信道的噪声模型,基于分数低阶统计量理论采用子空间和近似最大似然的方法,利用整个时隙内的接收信号恢复出期望用户的发射字符。相对于二阶统计量的方法,该方法有更好的韧性和经济的计算量。

The alpha-stable process was introduced as the noise model. Based on the fractional lower order theory, subspace technique and maximum-likelihood estimator were adapted to track the propagation vector. The desired user＇s signal was recovered by exploiting the whole frame of received signal from impulsive environment. It could be seen that the proposed robust method offer performance improvement over the original algorithms in non-Gaussian impulsive noise, with little attendant increase in computational complexity.