Node Selection for Unattended Ground Sensor Networks While Interrogating Multiple Targets

摘要

This work investigates the performance of a multiple target tracker that exploits bearings-only measurements from a network of unattended ground sensors (UGS). To conserve energy while interrogating multiple maneuvering targets, the tracker integrates node resource management with the multiple-mode probabilistic data association (PDA) or joint probabilistic data association(JPDA) filter. Experiments show that for sufficiently separated targets, the global node selection leads to better geolocation performance than the closest selection approach when the number of active nodes is set to two per snapshot. A track purity metric is also calculated to quantify the quality of the measurementto- track association performance of the tracking filter.