Sensor network performance modeling for weapon locating

This work describes the development of a tool that predicts the coverage and performance of sensor networks. Specifically it examines weapon locating radars and acoustic sensors in different terrain and weather conditions. The computer environment and multiple sensor models are presented. Fusion of sensors takes multiple predicted accuracy metrics from the single sensor performance models and combines them to show networked performance. Calculations include Cramer-Rao lower bound computation of the sensors and the fused sensors´ source location error. Results are presented showing the outputs of the models in the form of sensor accuracy maps superimposed onto terrain maps and early conclusions assessing feasibility of model reduction to simple algorithms are given.