Cooperative Tracking Technology of Single Target Multi-Sensor Based on Cooperative Index

Autor: Ri-Jie Yang, Xiao-Feng Wang, Jian-Wen Gong
Rok vydání: 2019
Předmět:
Zdroj: Mobile Networks and Applications. 25:1594-1603
ISSN: 1572-8153
1383-469X
DOI: 10.1007/s11036-019-01364-x
Popis: The multi-sensor cooperative tracking problem of single machine moving target is studied in this paper. At present, the uncertainties of covariance and unreasonable setting of expectation threshold in cooperative tracking algorithm are easy to cause frequent switching of radar. Moreover, the existing sensor management is carried out under the same tracking accuracy, which does not meet the needs of the actual battlefield environment. To solve these problems, a multi-sensor cooperation algorithm based on information increment and covariance is proposed. Firstly, the expected threshold of cooperative tracking is revised by using co-variance and information increment. Then, the tracking accuracy of the tracked target is adaptively divided according to the battlefield situation. Finally, the high-precision cooperative tracking of single target multi-sensor is realized by the co-index. Simulation results have verified the effectiveness of the proposed algorithm. Compared with traditional algorithms, proposed algorithm not only solves the frequent problem of radar switch, but also saves more sensor resources and improves the combat and anti-destruction capability of aircraft.
Databáze: OpenAIRE
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