The generalized Kalman filter approach to adaptive underwater target tracking

The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discon...

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Veröffentlicht in:IEEE journal of oceanic engineering 1992-01, Vol.17 (1), p.129-137
Hauptverfasser: El-Hawary, F., Aminzadeh, F., Mbamalu, G.A.N.
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Aminzadeh, F.
Mbamalu, G.A.N.
description The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discontinuity of the estimates. By assigning proper weights for accuracy and stability in the objective function, the desired balance between accuracy of estimates and lateral continuity is achieved. Computational results illustrate the performance of the technique. Conclusions as to the effects of the accuracy and stability weights are drawn.< >
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subjects Acoustic applications
Acoustic emission
acoustic models
Acoustics
Costs
Delay effects
Exact sciences and technology
Filtering
Fundamental areas of phenomenology (including applications)
Kalman filters
Marine
Physics
Signal processing
Stability
Target tracking
tracking
Underwater acoustics
underwater object location
Underwater sound
title The generalized Kalman filter approach to adaptive underwater target tracking
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