Abstract Model-set adaptation method is important for VSMM. In this paper, a hierarchical model-set adaptation method is proposed, which mimics the working principle for B cells recognizing antigens in immune system. According to this method, the system model-set is decomposed into base grid and moving grid. The base grid is used to detect the distribution of system model by rough searching and the moving grid is used to obtain the final filtering results by fine searching the area indicated by base grid. The calculation time of interactive filtering algorithm is effectively reduced, since the whole large model-set is decomposed into two small hierarchical model-sets. The simulation results show that higher filtering accuracy can be obtained with less calculation time.
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2014, Vol. 27 
