Journal article
A Logistic Regression Approach to Field Estimation Using Binary Measurements
AS Leong, M Zamani, I Shames
IEEE Signal Processing Letters | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2022
Abstract
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.
Related Projects (1)
Grants
Awarded by Australian Research Council's Discovery Projects Funding Scheme
Awarded by Australian Government
Awarded by ONR MURI
Funding Acknowledgements
This work was supported in part by Australian Research Council's Discovery Projects Funding Scheme under Grant DP210102454, and in part by Australian Government via grant AUSMURIB000001 associated with ONR MURI under Grant N00014-19-1-2571.