摘要
针对同一噪声源的多传感信号,采用自适应模糊神经网络系统(AFNNS)设计自适应噪声抵消器.采用AFNNS获取多路信息融合的权系数和自适应噪声抵消器的系数,基于AFNNS的自适应噪声抵消器不仅能获取信号的最佳估计,并且能克服模型和噪声存在的不确定性和不完备性.仿真结果表明,该自适应噪声抵消器的设计方法简单易行,去噪声效果优于基于平均法的去噪效果.
Adaptive fuzzy neural network system (AFNNS) is employed for adaptive noise cancellation using multi-sensory signal recordings of the same noise source. The method based on AFNNS not only achieves the H2 optimal reconstruction but also possesses a desired robust against the effect of uncertainties and incomplete information in signal processing. Simulation result shows that the design method can not only obtain simplicity of implementation but also achieve better reconstruction performance than the method based on the averaging method.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第6期667-670,共4页
Control and Decision
基金
国家自然科学基金资助项目(60274017)
沈阳市科技攻关项目(1023090 2 00).
