Title :
Multiresolutional multiple-model target tracking
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
fDate :
4/1/1994 12:00:00 AM
Abstract :
A multiresolutional multiple-model target tracking algorithm is developed which uses the wavelet transform as a means for mapping data between different resolution levels. The algorithm is effective for tracking maneuvering targets given measurements with a low S/N ratio
Keywords :
digital simulation; filtering and prediction theory; random noise; tracking; wavelet transforms; Kalman filter; S/N ratio; computational complexity; maneuvering targets; multiresolutional multiple-model target tracking algorithm; resolution levels; signal processing; simulation; wavelet transform; Area measurement; Discrete wavelet transforms; Filtering; Filters; Real time systems; Signal processing algorithms; Signal resolution; Target tracking; Time measurement; Wavelet transforms;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
