Maneuvering Extended Object Tracking with Modified Star-Convex Random Hypersurface Model Based on Minimum Cosine Distance

Maneuvering extended object tracking is a new research field due to the rapid development of modern sensor technology. Multiple measurements may be resolved from different unknown sources on an by using high-resolution radar. In this case, should regarded as one with extension, e.g., its shape described star-convex random hypersurface model. This model usually specified one-dimensional radial function. However, divergence estimation and high error kinematic state are likely occur when maneuvers. because function take negative value after Fourier series expansion, which leads unpredictable results. Unfortunately, itself unable solve problem via subsequent iterations. paper, we proposed modified approach track based minimum cosine distance. Both extension at current time reinitialized once takes value. Moreover, mathematical was constructed principle distance, so obtain more reasonable weight distribution coefficients for correction state. Simulation results in scenarios demonstrated effectiveness approach.