Improvement of Homing Missile Guidance Performance Using Fuzzy Adaptive IMM Radome Slope Estimation

For homing missile guidance system, a radome compensation method using fuzzy adaptive interacting multiple mode (FAIMM) algorithm for estimating both the radome slope and guidance information is proposed to reduce the influence induced by radome and enhance system performance. The new filtering algorithm includes two levels fuzzy inference systems based on the standard interacting multiple mode (IMM). In the first level the filtering measurement innovations and innovation error covariance are used as the inputs of fuzzy inference to take out the matched degrees for each sub-filter model which are computed intricately in the standard IMM. The radome slope model is adaptively adjusted to reduce the error of estimation using the second level fuzzy inference. Simulation results indicate that FAIMM can estimate the radome slope availably and improve the guidance system performance. Compared with IMM algorithm, the new aglorithm can get more accurate results with the same amount of sub-models.