It is studied that an integrated micro acceleration measurement system was used to detect the seismic acceleration signals from moving vehicle targets and recognize these targets in the paper. The seismic signals of typical vehicles have been tested by the system and analyzed in this paper, because seismic properties of vehicle targets are an important index of target recognition. In order to realize the target classification and recognition, a technique of artificial neural networks combined with Dempster-Shafer theory of evidence (ANNCDSTE) is applied to classification of seismic signals. The technique and its architecture have been presented. Through outdoor experiments, it can be proven that seismic properties of target acquired by the micro acceleration measurement system are correct, ANNCDSTE method is effective to solve the problem of target recognition
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