Abstract
In target tracking, the sensors platforms may not always have enough information to completely reconstruct the track state. In the past, techniques have been developed to provide ad hoc solutions to the state estimator in order to handle these situations. However, these techniques violate the mathematical underpinnings of the state estimation routine. In previous work, a control-based technique was developed and implemented for the target tracking problem. The velocity states of the target were removed from the state vector and incorporated into the control law. The analysis was performed with fully observable sensor systems. In this paper, the approach was adapted for an angle-only measurement sensor system. The control law was modified to handle a target intercept problem and applied to four separate problems. The results indicate that the technique of using control modifications is more robust than the state estimator.
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Stubberud, S.C., Teranishi, A.M., Kramer, K.A. (2015). Estimation for Target Tracking Using a Control Theoretic Approach – Part 2. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_8
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DOI: https://doi.org/10.1007/978-3-319-08422-0_8
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