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作 者:李沛[1] 宋晓娜[1] 侯晓霞[1] 张景荣[1]
机构地区:[1]北京信息科技大学机电实习中心,北京100192
出 处:《实验室研究与探索》2014年第6期29-32,共4页Research and Exploration In Laboratory
基 金:北京市属高等学校人才强教深化计划(PHR201106131)
摘 要:介绍了脉冲噪声有源噪声控制(ANC)算法,对对称α稳态(SαS)分布脉冲噪声有源控制进行了分析,提出了一种基于误差信号最小方差的S型转换的FXSIGMOIDLMS算法,分析了该算法的收敛条件,该算法不需要根据脉冲噪声的先验知识估测阀值和选择参数,易于实现。在Matlab编程环境下,采用FXSIGMOIDLMS算法进行仿真,验证了算法的有效性。对比了FXSIGMOIDLMS算法与对数变换FXlogLMS算法。证明了该算法具有良好的收敛性和稳定性。Impulse noise is extremely harmful tO human health. Hence, great progress has been achieved in active noise control (ANC), but most is about the noise control of Gaussian stable distribution, the non-Gaussian impulse noise control research is still in an exploratory stage. In this paper, the trends of impulse noise active noise control algorithms developed at home and abroad are analyzed, active noise control of symmetric α stable (SetS) distribution impulsive noise is studied. An algorithm based on minimizing the squared sigmoid transformation of error signal is proposed. The convergence condition of this algorithm is also analyzed. It does not need the parameter selection and thresholds estimation. Computer simulations are carried out to validate this algorithm. Simulation results prove the effectiveness of the algorithm. Compared to the previous FXIogLMS algorithm, this algorithm has good convergence and stability. According to the Sigmoid function expression, further experimental statistical analysis about the best match relationship of m-value and the alpha value will be the next target.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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