Title :
On the generalized nearest neighbor filter
Author :
Alouani, A.T. ; Rice, T.R. ; Auger, N.
Author_Institution :
Dept. of Electr. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
Abstract :
The authors present a new tracking algorithm for targets in a cluttered environment. The basic idea is to use all the data that fall into a validation gate. A weighted sum of these data is processed by means of a modified Kalman filter. A weighting coefficient is the distance between a given radar return and the predicted target position. The derived filter has a better performance than the nearest neighbor filter. It is also computationally more attractive than the probabilistic data association (PDA) filter
Keywords :
Kalman filters; filtering and prediction theory; radar clutter; radar theory; tracking; cluttered environment; generalized nearest neighbor filter; modified Kalman filter; radar return; tracking; validation gate; Clutter; Computational efficiency; Filtering theory; Filters; Nearest neighbor searches; Neural networks; Personal digital assistants; Position measurement; Radar tracking; Target tracking;
Conference_Titel :
System Theory, 1990., Twenty-Second Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-2038-2
DOI :
10.1109/SSST.1990.138150
