Wireless positioning method based on dynamic objective function under mixed LOS/NLOS conditions.
Guo QingKe WeiWanchun TangPublished in: UPINLBS (2018)
Keyphrases
- objective function
- cost function
- high precision
- constrained optimization
- high accuracy
- significant improvement
- prior knowledge
- artificial neural networks
- preprocessing
- optimal solution
- decision trees
- dynamic programming
- detection method
- support vector machine
- edge detection
- linear programming
- segmentation method
- clustering method
- computational cost
- dynamic environments
- sufficient conditions
- classification accuracy
- genetic algorithm
- learning process
- computational complexity
- metadata