用贝叶斯和极大似然方法合成随机脉冲的时间不连续参数估计的比较分析

A. Salnikova, O. Chernoyarov, L. A. Golpayegani, M. Kuba
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引用次数: 2

摘要

合成了在高斯白噪声背景下观测到的具有先验已知和不准确已知持续时间的高斯随机脉冲到达时间的最优估计和准最优估计算法。对到达时间的贝叶斯(拟贝叶斯)和最大似然(拟似然)测度进行了比较分析。给出了估计算法的统计计算机仿真结果。
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The comparative analysis of estimates of the time discontinuous parameter of the random pulse synthesized using Bayesian and maximum likelihood approaches
The algorithms for optimal and quasi-optimal estimation of the arrival time of a Gaussian random pulse with a priori known and inaccurately known duration, which is observed against the background of white Gaussian noise, is synthesized. The comparative analysis of the Bayesian (quasi-Bayesian) and maximum likelihood (quasi-likelihood) measurers of the arrival time is performed. The results of the statistical computer simulation of estimation algorithms are presented.
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