Title :
A nonlinear IMM algorithm for maneuvering target tracking
Author :
Wu, Wen-Rong ; Cheng, Peen-Pau
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
7/1/1994 12:00:00 AM
Abstract :
In target tracking, the measurement noise is usually assumed to be Gaussian. However, the Gaussian modeling of the noise may not be true. Noise can be non-Gaussian. The non-Gaussian noise arising in a radar system is known as glint noise. The distribution of glint noise is long tailed and will seriously affect the tracking performance. We develop a new algorithm that can effectively track a maneuvering target in the glint environment The algorithm incorporates the nonlinear Masreliez filter into the interactive multiple model (IMM) method. Simulations demonstrate the superiority of the new algorithm
Keywords :
computational complexity; digital simulation; filtering and prediction theory; noise; probability; radar interference; radar systems; signal detection; tracking; Gaussian modeling; computation requirements; distribution; glint noise; interactive multiple model; maneuvering target tracking; measurement noise; nonGaussian noise; nonlinear IMM algorithm; nonlinear Masreliez filter; radar system; score function; simulation; tracking performance; Degradation; Filtering; Filters; Gaussian noise; Motion estimation; Noise measurement; Radar tracking; State estimation; Target tracking; Working environment noise;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
