一种基于多级维纳滤波的信号子空间快速估计方法

Fast estimation of signal subspace based on multi-stage Wiener filter

基于多级维纳滤波的原理,提出了一种改进的信号子空间估计方法.该方法能够在没有期望信号先验知识的条件下,实现信号子空间的快速估计.理论分析和实验结果表明,与现有的信号子空间估计方法相比,该方法不仅计算复杂度低,而且还具有良好的总体估计性能,能够很好地满足工程应用中对信号进行实时处理的需求.

A reduced rank method for estimating signal subspace was principle of multistage Wiener filter. Without any prior knowledge of proposed, which was based on the desired signals, the signal subspace can be quickly estimated by utilizing the proposed method. Theoretical analyses and experiments show that, compared with the existing approaches to signal subspace estimation, the proposed method has not only lower computational complexity, but also better estimation performance, which means that it can greatly meet the needs for real-time processing of signals in engineering applications.