In this letter, we consider the problem of field estimation using binary measurements. Previous work has formulated the problem as a parameter estimation problem, with the parameter estimation carried out in an online manner using sequential Monte Carlo techniques. In the current work, we consider an alternative approach to the parameter estimation based on online logistic regression. The developed algorithm is less computationally intensive than the sequential Monte Carlo approach, while having more reliable estimation performance.
翻译:在此信中,我们考虑了使用二进制测量法进行实地估算的问题。 先前的工作将这一问题描述为一个参数估算问题,以在线方式使用连续的蒙特卡洛技术进行参数估算。 在目前的工作中,我们考虑了基于在线物流回归法的参数估算替代方法。 发达算法的计算密集度低于接续的蒙特卡洛方法,同时具有更可靠的估算性能。