摘要
针对背景噪声中复正弦信号的检测和估计问题,分析了自适应格型IIR陷波器的两种复数算法即梯度算法和简化的梯度算法的收敛性能,证明了输入白噪声方差的大小不影响收敛速度。并分析了由一阶自回归模型产生的有色噪声对算法的收敛性能的影响,为有色噪声中复正弦信号检测的自适应过程的参数的选取提供了理论依据。
A complex algorithm of gradient-based second-order adaptive IIR notch filter was proposed, and the convergence characteristics about gradient algorithm and simplified algorithm were investigate. It shows that the convergence speed does not depend on the variance of input white noise; and the simplified algorithm converges faster than the gradient algorithm. At the same time, the effects of colored input noise generated by first-order autoregressive model to the convergence speed were proposed. The theoretical analyses show that the initialization of the adaptive process is related with convergence speed in colored noise. The results of computer simulation are shown which confirm the theoretical prediction.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第1期37-39,共3页
Journal of System Simulation
基金
船舶工业国防科技基金(04J5.5.7)
