A Maneuvering Target Detecting Method Based on Lifting Wavelet Transform Algorithm

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 multimodel 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.