Maneuvering target tracking based on wavelet transform denoising
Guicheng Wang, Ran Mo, Min Zhang, Weipeng Zhang · 2017
Because of the influence of various disturbances, the measured value of the target state parameter obtained is different from the real state by the radar. To track the target continuously, the error can not be zero, so that the target can not be accurately maintained. And it is a problem that the target tracking system needs to be solved to suppress all kinds of error interference. In the processing of target tracking data, we can decompose the signals of different frequencies into different frequency ranges by introducing the wavelet filtering, which can be used to update the state of the maneuvering target. The simulation results show that the wavelet filtering can reduce the dynamic hysteresis error and noise interference error, and obtain better tracking performance.