脉冲噪声环境下基于拉格朗日插值分数延迟滤波器的时延估计方法
doi: 10.3724/SP.J.1146.2006.00226
A New Time Delay Estimation Method Based on Lagrange Interpolation Filter in Impulsive Noise Environment
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摘要: 该文针对稳定分布噪声模型，依据分数低阶矩理论提出一种新的非整数时延估计算法EFMML (Explicit Fractional lower order Mix Modulated Lagrange)方法。从理论上对算法的收敛条件进行了讨论，计算机仿真结果表明该方法具有良好的韧性，同时适用于高斯噪声和稳定分布脉冲噪声下的时延估计，且比另一种脉冲噪声下的非整数时延方法FSETDE(Fractional lower order Simplified Explicit Time Delay Estimation)更有效。Abstract: Based on the fractional lower order theory a novel fractional time delay estimation algorithm referred to as EFMML (Explicit Fractional lower order Mix Modulated Lagrange) under stable distributed noise environment is proposed. The convergence condition of the proposed method is analyzed in theory. Computer simulation shows that the proposed method is robust for both Gaussian and non-Gaussian impulsive noises environments. And it is more effective than FSETDE (Fractional lower order Simplified Explicit Time Delay Estimation), an existing time delay estimation algorithm under stable distributed noise environment.
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