Скачать или смотреть Multi-Hypothesis Guidance With Interacting Multiple Model Filter

Presented at the AIAA SciTech 2022

Most missile guidance laws are based on specific assumptions about the type and behavior of the target. However, this information is not necessarily available in time and with sufficient certainty. In fact, premature commitment to a specific target type and behavior can severely degrade missile performance. Therefore, this paper investigates a guidance system that can simultaneously take into account different hypotheses about target type and behavior. Using an interacting multiple model filter, the probabilities of several fundamental movement patterns and their respective parameters are estimated. These are then used to run multiple zero-effortmiss guidance laws in parallel, each assuming a different hypothesis. The combination of different acceleration commands produced by the different guidance laws is done in two ways: either a weighted average is calculated or the guidance system tries to keep all possible target trajectories reachable as long as possible. The conducted simulations show the performance benefits of the multi-hypothesis guidance compared to a state-of-the-art single-hypothesis guidance law.