摘要
水中混响是主动声呐信号处理中主要的干扰之一,而对水中混响的预测是解决混响背景下信号处理的重要前提.基于二阶Volterra自适应滤波器的混沌时间序列的预测方法是在Takens相空间重构理论的基础上提出的.仿真结果表明,这种非线性自适应滤波预测器能够有效地预测混沌时间序列.同时,由于水中混响具有混沌特性,因而可将这种非线性预测方法应用在水中混响时间序列的预测中.通过仿真得到预期的效果.
Underwater background reverberation is a major impediment to active sonar signal processing, so effective prediction of underwater reverberation is a precondition for reliable signal processing. A prediction method for chaotic time sequences based on a two-order Volterra adaptive filter is proposed based on phase space reconstruction theory. Since underwater reverberation is chaotic, it is very effective to use this nonlinear filter to predict the time sequences of underwater reverberation. Simulation results show that this nonlinear filter can better predict chaotic time sequences.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2007年第10期1127-1130,共4页
Journal of Harbin Engineering University
