Recognition algorithms for small moving target in strong noise based on single feature has a high false alarm. Sometimes the features of target and noise are very alike. A new recognition algorithm of small moving target based on multi-feature fusion is presented. The reliability and the extraction method of the continuous correlation,area and centroid position of the small moving target are analyzed. The normalized features are used to construct robust combined feature that can present the real target based on the multi-feature fusion method. The candidate target with the largest value of fusion feature as the real target is determined. The comparison with recognition method based on only one feature proved that the recognition based on multi-feature fusion could exactly recognize the small moving target.