自适应滤波器的修正的时域正交性算法及其应用
MODIFIED TIME DOMAIN ORTHOGONALITY ALGORITHM FOR ADAPTIVE FILTERS AND IT S APPLICATIONS
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摘要: 本文绘出了一个自适应滤波器的修正的时域正交性算法.计算机模拟结果表明,该算法有两个特性:一、相同的收敛因子c可以在比较宽范围的输入信号信噪比内使用。二、应用这种方法的噪声消除器的一个实用特性是,对于相同的期待信号,输入的参考信号的功率变化,不影响收敛因子c值的选择,这就使这种噪声消除器的应用更灵活。文中给出了这种算法用于谱估值时的特性,并与LMS算法进行了比较。
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Abstract: A comparison of the performances of two algorithms-least mean square (LMS) and modified time domain orthogonality (MTDO) for an adaptive filter is made. Computer simulations of these two algorithms show that MTDO has an important advantage, that is, the same convergenee factor can be used within wider range of signal to noise ratio of input signal in noise caneeller and line enhancer. MTDO adaptive noise caneeller has a useful characteristic, that is, at the same signal to noise ratio, the power of input reference signal is not correlated with the convergence factor. The comparison of convergence value of mean square error (MSE) of both LMS and MTDO with theoretical minimum value of MSE is given. The performances of spectral estimates of LMS and MTDO adaptive system are obtained experimentally. -
B. Widrow, J. R. Glover and J. M. Mccool, Proc. of IEEE, 63(1975). 1692.[4]B. Widrow, Adaptive Filter in Aspects of Network and System Theory, Part. 4, R. E. Kalman and N. Declaris, Editors, Holt, Rhinehart and Winston, New York. 1971.[5]W.S. Burdic, IEEE Trans. on AES, AES-14(1978), 578. -
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