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Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
The radar resource management problem in a multitarget tracking scenario is considered. The problem is solved using a dynamic budget balancing algorithm. It models the different sensor tasks as partially observable Markov decision processes and solves them by applying a combination of Lagrangian relaxation and policy rollout. The algorithm has a...
journal article 2021
document
Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
In this paper, waveforms for MIMO phased array radar to enhance cross-range resolution are investigated. The problem of high sidelobes in range created by the use of Hybrid Codes with a single waveform and spatial coding is considered and a method to reduce these sidelobes by the use of Golay sequences as spatial codes is proposed. It is shown...
conference paper 2018
document
Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
The radar resource management problem in a multitarget tracking scenario for multi-function radar is considered. To solve it, an optimal balancing of the sensor budget by applying Lagrangian relaxation and the subgradient method is proposed. In a time-invariant scenario it is shown that the proposed method will lead to balanced budgets based on...
conference paper 2020
document
Schöpe, M.I. (author), Driessen, J.N. (author), Yarovoy, Alexander (author)
The sensor resource management problem in a multi-object tracking scenario is considered. In order to solve it, a dynamic budget balancing algorithm is proposed which models the different sensor tasks as partially observable Markov decision processes. Those are being solved by applying a combination of Lagrangian relaxation and policy rollout....
conference paper 2020
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van der Werk, Bas (author), Schöpe, M.I. (author), Driessen, J.N. (author)
Radar Resource Management in a multi-sensor multi-target scenario is considered. A dynamic resource balancing algorithm is proposed which optimizes target task parameters assuming an underlying partially observable Markov decision process (POMDP). By applying stochastic optimization methods, such as policy rollout, the POMDP is solved non...
conference paper 2021
document
de Boer, Thies (author), Schöpe, M.I. (author), Driessen, J.N. (author)
The radar resource management problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking task. Model predictive control is applied to solve the POMDPs in a non-myopic way. As a result, the computational complexity compared to stochastic optimization...
conference paper 2021
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