
Accession Number : ADA329021
Title : Comparison of Four Filtering Options for a Radar Tracking Problem,
Corporate Author : NAVAL SURFACE WARFARE CENTER DAHLGREN DIV VA
Personal Author(s) : Lawton, John A. ; Jesionowski, Robert J. ; Zarchan, Paul
PDF Url : ADA329021
Report Date : 1997
Pagination or Media Count : 10
Abstract : Four different filtering options are considered for the problem of tracking an exoatmospheric ballistic target with no maneuvers. The four filters are an alphabeta filter, an augmented alphabeta filter, a decoupled Kalman filter, and a fullycoupled extended Kalman filter. These filters are listed in the order of increasing computational complexity. All of the filters can track the target with some degree of accuracy. While the pure alphabeta filter appreciably lags the other filters in performance for this problem, its augmented version is very competitive with the extended Kalman filter under benign conditions. Perhaps the most surprising result is that under all conditions examined, the decoupled (linear) Kalman filter, which is at least an order of magnitude less computationally complex, performs nearly identical to the coupled, extended Kalman filter. Four different filtering options are considered for the problem of tracking an exoatmospheric ballistic target with no maneuvers. The four filters are an alphabeta filter, an augmented alphabeta filter, a decoupled Kalman filter, and a fullycoupled extended Kalman filter. These filters are listed in the order of increasing computational complexity. All of the filters can track the target with some degree of accuracy. While the pure alphabeta filter appreciably lags the other filters in performance for this problem, its augmented version is very competitive with the extended Kalman filter under benign conditions. Perhaps the most surprising result is that under all conditions examined, the decoupled (linear) Kalman filter, which is at least an order of magnitude less computationally complex, performs nearly identical to the coupled, extended Kalman filter.
Descriptors : *RADAR TRACKING, COMPUTATIONS, COMPARISON, KALMAN FILTERING, TARGETS, FILTERS, BALLISTICS, EXOSPHERE.
Subject Categories : Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE