An Adaptive Algorithm for Sampling Two-Dimensional Fields using Mobile Sensors

In this paper, we propose an adaptive algorithm for sampling and reconstructing two-dimensional fields using mobile sensors that can move to designated locations to collect measurements. During each step, the algorithm selects the most desirable sampling sites from a pool of site candidates based on a Bayesian framework. Simulations show that the algorithm works effectively.

• Type: Conference
• Year: 2007
• Where: ICASSP
• Authors: Huiyu Luo, Xiangming Kong, Gregory J. Pottie
• Keywords: Adaptive Algorithm, Desirable Sampling Sites, ICASSP 2007, Signal Processing, Two-dimensional fields