Signals which is composed of all kinds of different frequencies can be decomposed into different frequency domains by using wavelet transform to realize de-noising efficiently. Lifting wavelet algorithm has some advantages, such as simple computing, easy programming, and fast speed. A quick method of maneuvering detection based on lifting wavelet transform algorithm is proposed. Multi-resolution measure data can be obtained by using lifting wavelet transform in the algorithm which has the advantages of computing easier, maneuvering detection delay smaller and detection probability higher. A framework of five-layer lifting wavelet decomposition was used for target movement track, the out-put multi-resolution measure data are used to update the target state of interacting multi-model algorithm. Simulation result shows that the algorithm can extract the maneuvering of target from strong-noisy circumstance, and display maneuvering moment clearly. Tracking performance is improved.