Application of the WK hybrid filter algorithm in the processing of radar information

The Kalman filter algorithm can not solve the problem of the time-frequency localization, and it often switches between the low-frequency filter and high-frequency filter by the mobile detector (The changeable dimension filter algorithm) or Markovian transfer probability matrix (VD algorithm), so it has delay and some influence of the mobile detector and Markovian transfer probability matrix. Hence, the filter error of the Kalman filter algorithms is obviously big. This paper brings the new hybrid filter algorithm (WK algorithm) of the 2D Wavelet transform and Kalman Filter, which has the characteristics of the well time-frequency localization and real time. The WK algorithm is used to process the radar information and makes the filter estimated data to approach the true track.