General Schedulers for the Pinwheel Problem Based on Double-Integer Reduction
IEEE Transactions on Computers
Sensor selection via convex optimization
IEEE Transactions on Signal Processing
Sensor selection strategies for state estimation in energy constrained wireless sensor networks
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Hi-index | 22.14 |
In this paper, we investigate the problem of scheduling parallel Kalman filters for multiple processes, where each process is observed by a Kalman filter and at each time step only one Kalman filter could obtain observation due to practical constraints. To solve the problem, two novel notions, permissible consecutive observation loss (PCOL) and least consecutive observation (LCO), are introduced as criteria to describe feasible observation sequences for a process ensuring desired estimation qualities. Then two methods, namely, the threshold method and the periodic method, are proposed to calculate PCOL and LCO for each process. Based on the derived PCOL and LCO requirements, we develop two algorithms that are applicable to different situations: Sxy algorithm from the pinwheel problem for the case of LCO=1 and tree search algorithm for general cases. Also, to reduce the computational complexity of tree search algorithm, several useful pruning conditions are obtained.