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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity.
- Source :
- International Journal of Aerospace Engineering; 8/18/2022, p1-16, 16p
- Publication Year :
- 2022
-
Abstract
- Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. Firstly, a multiple input multiple output (MIMO) cooperative detection model is constructed. Then, based on the perspective of information theory, the channel capacity of the cooperative detection model is derived and used as the objective function for optimizing the detection resources of UAV swarm. Then, the factors affecting the objective function are sorted out and analyzed one by one, and the constraints are clarified. Aiming at the shortcomings of ABC algorithm, its search strategy and parameter optimization method are improved. A joint optimization process of UAV swarm trajectory and radiated power based on improved ABC algorithm is constructed. Finally, through simulation verification and algorithm comparison, it shows that the algorithm in this paper can improve the perception ability of cooperative detection of UAV swarm. [ABSTRACT FROM AUTHOR]
- Subjects :
- PARTICLE swarm optimization
INFORMATION theory
BEES algorithm
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 16875966
- Database :
- Complementary Index
- Journal :
- International Journal of Aerospace Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 158604311
- Full Text :
- https://doi.org/10.1155/2022/8418426