Fuzzy-logic-based IMM algorithm for tracking a manoeuvring target

The authors propose a new fuzzy-logic-based interacting multiple model (FIMM) algorithm for tracking a manoeuvring target. The unknown target acceleration is regarded as an additional process noise to the target model, and each sub-model is characterised by the variance of the overall process noise, which is obtained on the basis of each acceleration interval. Since it is hard to approximate this time-varying variance adaptively owing to the unknown acceleration, a fuzzy system is applied as the universal approximator to compute it. To optimise each fuzzy system, a genetic algorithm is utilised. The proposed FIMM algorithm does not require prior information on the statistical properties of the target manoeuvre. An example is included for visualising the effectiveness of the proposed algorithm.