自適應(yīng)濾波器的修正的時(shí)域正交性算法及其應(yīng)用
MODIFIED TIME DOMAIN ORTHOGONALITY ALGORITHM FOR ADAPTIVE FILTERS AND IT S APPLICATIONS
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摘要: 本文繪出了一個(gè)自適應(yīng)濾波器的修正的時(shí)域正交性算法.計(jì)算機(jī)模擬結(jié)果表明,該算法有兩個(gè)特性:一、相同的收斂因子c可以在比較寬范圍的輸入信號(hào)信噪比內(nèi)使用。二、應(yīng)用這種方法的噪聲消除器的一個(gè)實(shí)用特性是,對(duì)于相同的期待信號(hào),輸入的參考信號(hào)的功率變化,不影響收斂因子c值的選擇,這就使這種噪聲消除器的應(yīng)用更靈活。文中給出了這種算法用于譜估值時(shí)的特性,并與LMS算法進(jìn)行了比較。
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關(guān)鍵詞:
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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