Effects of Measurement Model on Target Tracking Performance for Passive Bistatic Radar

In a complex electromagnetic environment, the measurements obtained by passive radar are usually uncertain due to the influence of many factors such as noise, interference and missed detection. The selection of the measurement model depends on the target state, which affects the implementation and performance of the tracking algorithm and may result in the trajectory tracking diverges under serious cases. Aiming at this problem, a measurement model based on passive bistatic radar is first established. Then the impact of the bistatic and cartesian measurement models on the tracking performance of different types of targets is investigated in combination with simulations. Finally, the performance of the two measurement models is confirmed via real data processing.