基于全相位算法的自适应滤波算法

为减小实时信号的自适应处理时间,改善系统性能,在全相位数据空间概念的基础上,提出一种全相位自适应信号处理方法,并通过仿真对该算法在不同原始信号、不同噪声干扰的情况下进行了性能分析．在对该算法和经典的自适应算法在不同原始信号、不同噪声干扰的情况下进行了性能对比之后,提出了该算法的改进方案来改进输入信噪比小于0时的性能．结果表明,改进方案的输出误差性能达到甚至优于理想状态下的经典自适应算法, 从而验证了该算法及其改进方案的可行性和优越性．

An Adaptive Filtering Algorithm Based on the All Phase Algorithm

To reduce the processing time of the real-time signal and improve the performance of the system, an algorithm of all phase adaptive signal processing based on the concept of all phase data space is proposed, and the performance of this algorithm under different input and noise signal conditions is analyzed by simulation. After comparison of the performance between this algorithm and the classical adaptive signal processing method under different input and noise signal conditions, a modified algorithm is proposed improve its performance when the input signal-to-noise is less than zero. The simulation results show that the output error performance of the improved method is as good as or even better than other adaptive signal processing methods by comparing the performance of the improved method with other adaptive signal processing method.