Multi-aircraft cooperative detection strategy based on formation

Shan Xu, Ke Zhang, Pei Wang

科研成果: 期刊稿件会议文章同行评审

摘要

A filter algorithm combining Interactive Multiple Model (IMM) algorithm with adaptive transition probability and Unscented Kalman Filter (UKF) is proposed for the issue of state estimation of highly maneuvering targets with unknown motions. The centralized fusion structure is adopted to process measurements of multi-aircraft to improve the accuracy of target state estimation. The cooperative detection strategy based on formation is studied from two aspects of the aircrafts number and configuration radius, and conclusions are drawn through simulation: In general, the more the number of aircrafts, the better the detection effect; when the configuration radius is 250km and 100km, the better cooperative detection effect can be obtained; considering the cost issue, 4 aircrafts can be selected for cooperative detection in a rectangular formation with a half diagonal of 100km.

源语言英语
文章编号012072
期刊Journal of Physics: Conference Series
1846
1
DOI
出版状态已出版 - 17 3月 2021
活动2021 7th International Symposium on Sensors, Mechatronics and Automation System, ISSMAS 2021 - Xiamen City, Virtual, 中国
期限: 29 1月 202131 1月 2021

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