Nonlinear shift estimation and optimal sensor deployment for target tracking

In this paper, the mathematical model for target tracking using nonlinear scalar range sensors is formulated first. Sensors are classified into active sensors and submissive sensors according to the relative distances with the target. Then two different estimation algorithms accompanying with an optimal sensor deployment strategy are proposed for both active and submissive sensors to estimate the trajectory of the target. Finally, some numerical examples are given to validate the proposed tracking algorithm.