A configurable simulation environment to test nonlinear non-Gaussian estimator in navigation systems

The goal of the paper is to create different scenarios and to develop methodology sufficient enough for analysis and evaluation of various type of linear or nonlinear estimation filters. The numerical model, created and presented here, can accommodate the estimation filter and test its performance on the perspective positioning method - the DME/DME positioning. There are described several challenges what a new navigation and surveillance systems will have to face in a near future. Once a new category of users is introduced in the NAS the tracking algorithms developed for present navigation and surveillance systems might fail and their estimation filters probably diverge from a true trajectories of the target. The paper describes the scenario environment prepared for those challenges when anticipated new air vehicles will be flying in a low altitudes and in a close proximity of urban areas.