@inproceedings{12de3cc93aa84182bd6d4866453ff9db,
title = "Integrated data association and bias estimation in the presence of missed detections",
abstract = "This paper is concerned with performing the measurement-to-measurement association and bias estimation jointly in the presence of missed detections. An integrated mix integer programming (MINLP) model is established to determine the correspondence between local measurements and estimate sensor biases simultaneously. An alternation optimization mechanism is employed to solve the complicated MINLP model. A recursive version for bias estimation is developed that provides an access to deal with the measurement data sequentially. Monte Carlo simulation results are presented to illustrate our findings, as also demonstrating the effectiveness of the proposed approach.",
keywords = "bias estimation, data association, mixed integer nonlinear programming (MINLP), sensor biases",
author = "Hongyan Zhu and Chen Wang and Wen Jiang and Chongzhao Han and Yan Lin",
note = "Publisher Copyright: {\textcopyright} 2014 International Society of Information Fusion.; 17th International Conference on Information Fusion, FUSION 2014 ; Conference date: 07-07-2014 Through 10-07-2014",
year = "2014",
month = oct,
day = "3",
language = "英语",
series = "FUSION 2014 - 17th International Conference on Information Fusion",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "FUSION 2014 - 17th International Conference on Information Fusion",
}