Abstract
In the case of any prior knowledge is unknown, a novel consensus fusion algorithm is put forward. The algorithm takes use of the redundancy information between two consecutive measurements to define the new weight assignment, so the weight coefficient of sensors can be determined dynamically. The algorithm can avoid data saturation when the measurement information increasing, and ensure itself sensitivity when the measurements became changing. The simulation result shows that the weight coefficient assignment in the proposed algorithm is more effective, and the fusion precision can be improved further.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, P., Xie, Wj., Zhang, Jy., Wang, Zl. (2011). A Tentative Idea of a Novel Consensus Fusion Method for Multi-sensor. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23887-1_60
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DOI: https://doi.org/10.1007/978-3-642-23887-1_60
Publisher Name: Springer, Berlin, Heidelberg
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