Target localization and tracking based on improved Bayesian enhanced least-squares algorithm in wireless sensor networks.
Tao WangXiang WangWei ShiZongmin ZhaoZhenxue HeTongsheng XiaPublished in: Comput. Networks (2020)
Keyphrases
- least squares
- improved algorithm
- target tracking
- detection algorithm
- wireless sensor networks
- learning algorithm
- kalman filter
- dynamic programming
- optimal solution
- np hard
- parameter estimation
- real time
- segmentation algorithm
- worst case
- computational complexity
- preprocessing
- moving target
- multiple targets
- simulated annealing
- mobile robot
- k means
- mean shift
- routing protocol
- objective function
- convergence rate
- reinforcement learning
- search space