GENERALIZED CORRELATION METHOD FOR ESTIMATION OF TIME-DELAY
GENERALIZED CORRELATION METHOD FOR ESTIMATION OF TIME-DELAY
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DOI：
10.1109/tassp.1976.1162830
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发表时间：
1976-01-01
期刊：
影响因子：
--
通讯作者：
CARTER, GC
中科院分区：
文献类型：
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作者：
KNAPP, CH;CARTER, GC
提出了一种最大似然(ML)估计器，用于在存在不相关噪声的情况下确定两个空间分离的传感器接收的信号之间的时延。这种最大似然估计器可以实现为一对接收机预滤波，后跟一个互相关器。相关器达到最大值的时间自变量是延迟估计。将该最大似然估计器与其他几种类似形式的处理器进行了比较。在一定条件下，最大似然估计与Hannan和Thomson[10]以及MacDonald和Schultheiss[21]提出的估计相同。从本质上讲，前置滤波器的作用是在信噪比(S/N)最高的频率上增强传递到相关器的信号，同时抑制噪声功率。广义ECKART滤波器提供了相同类型的预滤波，它最大化了相关器输出的S/N比。对于低的S/N比，最大似然估计等价于ECKART预滤波。
A maximum likelihood (ML) estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise. This ML estimator can be realized as a pair of receiver prefilters followed by a cross correlator. The time argument at which the correlator achieves a maximum is the delay estimate. The ML estimator is compared with several other proposed processors of similar form. Under certain conditions the ML estimator is shown to be identical to one proposed by Hannan and Thomson [10] and MacDonald and Schultheiss [21]. Qualitatively, the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and, simultaneously, to suppress the noise power. The same type of prefiltering is provided by the generalized Eckart filter, which maximizes the S/N ratio of the correlator output. For low S/N ratio, the ML estimator is shown to be equivalent to Eckart prefiltering.