Adaptive signal processing algorithms for time delay estimates and tracking

S. Park, Y.T. Kim
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Abstract

A detail comparison of two adaptive algorithms for time-delay estimation and moving-source tracking is presented. These are: (1) B. Widrow's least-mean-square algorithm (1975), and (2) an adaptive short-term correlator algorithm. The desired comparison is carried out using a digital computer simulation. Bandlimited signals which are perturbed by white Gaussian noise and received at two sensors are considered at various bandwidths and signal-to-noise ratios.<>
用于时延估计和跟踪的自适应信号处理算法
对时滞估计和运动源跟踪两种自适应算法进行了详细比较。它们是:(1)B. Widrow的最小均方算法(1975)和(2)自适应短期相关算法。采用数字计算机模拟进行了所需的比较。考虑两个传感器在不同带宽和信噪比下接收受高斯白噪声干扰的有限带宽信号
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