Tracking maneuvering targets using H∞ filters

Develops, tests and evaluates H_∞ algorithms for tracking maneuvering targets as an alternative to traditional approaches based on Kalman filter extensions and modifications. A crucial property of H_∞ filters is an automatic increase of the filter bandwidth. The authors further explore this property versus appropriate artificial increases of the bandwidth of a Kalman filter and the H_∞ filter itself. H_∞ and Kalman filters are compared for RMSE performance as well as performance robustness to different maneuvering trajectories. Simulation results are presented showing the performance and robustness of the two filters for different maneuvering trajectories, data rates and bandwidth adjustments.