VLSI based fuzzy logic controller enabled adaptive interactive multiple model for target tracking

Interacting Multiple Model (IMM) algorithm is proved to be useful in tracking maneuvering targets. The tracking accuracy of the IMM can be further improved by modifying IMM to change its transition probabilities adaptively. A fuzzy logic controller (FLC) is designed to change the transition probabilities of IMM adaptively with innovation and rate of innovation as input parameters. The FLC selects the suitable transition probabilities of the IMM to minimize the error in tracking. A VLSI level FLC architecture for this purpose is designed and results are obtained from logic synthesis. Techniques for simplifying the process of fuzzification and defuzzification and its subsequent effect of reducing system and computational complexity are discussed. r 2002 Elsevier Science B.V. All rights reserved.