Accurate Parameter Estimation of Time-varying Nuclear Radiation Field with Mobile Sensors

Chen，Bo1; Li，Zhicheng2; Yang，Zaiyue1

10.23919/CCC52363.2021.9549921

2021-07-26

1934-1768

2161-2927

978-1-6654-1195-0

Chinese Control Conference, CCC

2021-July

5655-5660

26-28 July 2021

Shanghai, China

In this paper, the optimization strategy of mobile sensors and the parameter estimation of time-varying nuclear radiation field are investigated. Based on the measurement model with white Gaussian noise, Fisher information matrix is derived as an information metric. At each time step, finding the best mobile sensor coordinates that contain the amount of maximal information in the 4-Dimension space is formulated as a constrained nonlinear optimization problem, which is able to minimize the trace of Cramer-Rao Lower Bound. Further, an efficient heuristic algorithm called Augmented Lagrangian Genetic Algorithm is adopted to solve the above optimization problem. Then, the parameters of nuclear radiation field are estimated by a maximum likelihood estimator. The proposed sensor coordinates moving strategy has better estimation performance than random coordinates strategy, which is demonstrated via simulation results.

Augmented Lagrangian Genetic Algorithm (ALGA) Cramer-Rao Lower Bound (CRLB) Fisher information matrix (FIM) Maximum likelihood estimate (MLE) Optimal sensor coordinates

第一

英语

EI

20214311045691

Cramer-Rao bounds ; Fisher information matrix ; Gaussian noise (electronic) ; Genetic algorithms ; Heuristic algorithms ; Lagrange multipliers ; Maximum likelihood estimation ; Nonlinear programming ; Parameter estimation

Computer Programming:723.1 ; Statistical Methods:922 ; Mathematical Statistics:922.2 ; Systems Science:961

2-s2.0-85117332922

Scopus

1.Southern University of Science and Technology,Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems,Department of Mechanical and Energy Engineering,Guangdong Prov. Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities,Shenzhen,518055,China
2.Southern University of Science and Technology,Academy for Advanced Interdisciplinary Studies,Shenzhen,518055,China

Chen，Bo,Li，Zhicheng,Yang，Zaiyue. Accurate Parameter Estimation of Time-varying Nuclear Radiation Field with Mobile Sensors[C],2021:5655-5660.