Density-based clustering method for screening the credible signals of opportunity with unknown static bias

The paper investigates the problem of navigation via signals of opportunity (SOP) with static bias. Firstly, the different categories of SOP are introduced, and the detailed mathematical information of the different SOP are provided. Secondly, by establishing a step-by-step screening model, the paper proposes a density-based clustering method to online screen the incredible signals. More importantly, the concept of support is utilized to evaluate the screening effect, thereby improving the final positioning accuracy. Finally, the simulation results are presented to verify that the online screening method can achieve the goal of filtering out the incredible signals.