脈沖噪聲環(huán)境下的自適應(yīng)時(shí)間延遲估計(jì)新方法
A New Method of Adaptive Time Delay Estimation in Impulsive Noise Environments
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摘要: 基于自適應(yīng)分?jǐn)?shù)低階協(xié)方差(AFLC)的時(shí)間延遲估計(jì)方法在脈沖噪聲環(huán)境下具有良好的韌性,但是算法中參數(shù)a和b的取值對(duì)于算法的估計(jì)精度有一定的影響。針對(duì)信號(hào)噪聲的非平穩(wěn)特性,該文提出一種動(dòng)態(tài)參數(shù)估計(jì)方法,并在此基礎(chǔ)上提出一種不受約束條件限制的修正的自適應(yīng)分?jǐn)?shù)低階協(xié)方差(M-AFLC)算法。計(jì)算機(jī)仿真結(jié)果表明,遞推參數(shù)估計(jì)方法在平穩(wěn)和非平穩(wěn)噪聲環(huán)境下都能夠很好地工作,M-AFLC算法既保留了AFLC算法的全部?jī)?yōu)點(diǎn),又避免了AFLC算法在約束條件不滿足時(shí)的性能退化。Abstract: The Adaptive Fractional Lower order Covariance (AFLC) time delay estimation method performs robust under impulsive noise environments, but the values of parameters a and b have effects on estimated precision. According to the non-stationary property of noises, this paper proposes a dynamic parameter estimation method and further proposes a Modified Adaptive Fractional Lower order Covariance (M-AFLC) method. Computer simulation indicates that the iterative parameter estimation method performs well under both stationaiy and non-stationary noise conditions. It also shows that the M-AFLC maintains the merits of the AFLC, and at the same time the proposed method avoids the degradation of AFLC while the restriction unsatisfied.
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