A novel range profile identification system based on multiple classification was discussed. After feature compression with K L transform, one can get a rough identification result by clustering or eliminate impossible candidates according to some rules. The remainder is identified by fuzzy ARTMAP neural network with the feature extraction of the optimal set based on the Fisher criterion. The experiment shows that this classifying method could be more effective than the single classifier method.