Title :
Target racking with glint noise
Author_Institution :
MIST Res. Center, Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
1/1/1993 12:00:00 AM
Abstract :
In tracking targets, there can be an uncertainty associated with the measurements in addition to their inaccuracy, which is usually modeled by aDditive Gaussian noise. 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. An algorithm is developed which can significantly improve the tracking performance when glint noise is present
Keywords :
filtering and prediction theory; radar theory; random noise; tracking; Gaussian modeling; Kalman filter; aDditive Gaussian noise; glint noise; radar system; score function; simulation; Bayesian methods; Computational complexity; Computational modeling; Equations; Filtering; Filters; Function approximation; History; State estimation; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
