Title :
Adaptive filtering techniques for manoeuvring targets
Author :
Farooq, M. ; Bruder, S. ; Quach, T. ; Lim, S.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll., Kingston, Ont., Canada
Abstract :
A number of currently available maneuver compensation techniques are summarized. These techniques can generally be classified as parametric (the maneuver in modeled as a random event) or nonparametric (deterministic maneuver representation) approaches. The finite memory filter and input estimation procedure seemed to provide the most favorable combination of performance, computational requirements, and robustness. It is noted, however, that if the Markovian probabilities are accurately chosen, then the IMM (interactive multiple model) approach can be quite accurate. In situations where maneuvers are abrupt due to the pilot commands, the dynamic model based upon a pure jump process of the Poisson type yields promising results
Keywords :
adaptive filters; array signal processing; filtering and prediction theory; Markovian probabilities; Poisson type; adaptive filtering; computational requirements; deterministic maneuver representation; dynamic model; finite memory filter; input estimation procedure; interactive multiple model; maneuver compensation techniques; pure jump process; random event; robustness; Adaptive filters; Covariance matrix; Educational institutions; Military computing; Monitoring; Predictive models; Stochastic processes; Target tracking; Technological innovation; White noise;
Conference_Titel :
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-0620-1
DOI :
10.1109/MWSCAS.1991.252121