@inproceedings{14c0d2754f2047208ca7f70f9d3b3b8d,
title = "Airborne self-adaptive multi-sensor management",
abstract = "Sensor management plays an important role in data fusion system, the airborne multi-sensor system typically operates under resource constraints that prevents the simultaneous use of all resources all of the time. Considered the multi-sensor management, this paper presents an algorithm of modified efficiency function which synthetically considers the environmental factors, mission requirements, target statements and sensor characteristics to make it self-adaptive and suitable for multi-sensor management in resource limited area. It could realize the self-adaptive scheduling on tracking accuracy under environmental and resource constraints. The simulation on PAR, IRST and ESM show that the algorithm is reasonable and effective.",
keywords = "Airborne, Measurement precision, Modified efficiency function, Sensor management, Sensor-target pairing, Target priority",
author = "Meiqin Liu and Yue Zhang and Zhen Fan and Yan He and Senlin Zhang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016 ; Conference date: 19-11-2016 Through 23-11-2016",
year = "2017",
doi = "10.1007/978-981-10-5230-9\_49",
language = "英语",
isbn = "9789811052293",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "509--520",
editor = "Fuchun Sun and Huaping Liu and Dewen Hu",
booktitle = "Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers",
}