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A Logistic Regression Approach to Field Estimation Using Binary Measurements
IEEE Signal Processing Letters ( IF 3.9 ) Pub Date : 2022-08-22 , DOI: 10.1109/lsp.2022.3200867
Alex S. Leong 1 , Mohammad Zamani 1 , Iman Shames 2
Affiliation  

In this letter, we consider the problem of field estimation using binary measurements. Previous work has formulated the problem as a parameter estimation problem, which can be solved in an online manner using sequential Monte Carlo (SMC) techniques. In the current work, we consider an alternative approach to the parameter estimation problem based on online logistic regression. The developed algorithm is less computationally intensive than the SMC approach, while having more reliable estimation performance.

中文翻译:

使用二进制测量进行场估计的逻辑回归方法

在这封信中,我们考虑了使用二进制测量进行场估计的问题。以前的工作已将该问题表述为参数估计问题,可以使用顺序蒙特卡罗 (SMC) 技术以在线方式解决该问题。在目前的工作中,我们考虑了一种基于在线逻辑回归的参数估计问题的替代方法。与 SMC 方法相比,所开发的算法计算量较小,同时具有更可靠的估计性能。
更新日期:2022-08-22
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