Sensor Management Based on Random Set Observations and Information Theory
Luo Wen-ta · Modern Radar · 2013
Consider the distribution and identification problem of sensors to targets in the sensors network,the approach of control- ling the observations of these sensors adaptively is discussed in this paper. Also a statistical framework based on random sets is ex- ploited to model the statistical relationship between observed features and object types. In particular,a novel approach for computa- tion of these distances between distributions of random sets is presented by using k-best assignment algorithms. Simulation results show that the information-based sensor management algorithms achieve comparable classification accuracy to adaptive simulation- based approaches that evaluate the value of information,while requiring nearly three orders of magnitude less computation.