论文标题
使用二进制测量值的逻辑回归方法进行现场估计
A Logistic Regression Approach to Field Estimation Using Binary Measurements
论文作者
论文摘要
在这封信中,我们考虑使用二进制测量值的现场估计问题。先前的工作将问题作为参数估计问题提出,并使用顺序的蒙特卡洛技术以在线方式进行参数估计。在当前的工作中,我们考虑了基于在线逻辑回归的参数估计的替代方法。所开发的算法在计算范围内比顺序Carlo方法少,同时具有更可靠的估计性能。
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.