Adaptive channel coding scheme using finite state machine

This paper proposes and investigates a coding and decoding scheme to achieve adaptive channel coding using a finite state machine (FSM). Adaptive channel coding and decoding systems that can switch between different coding rates and error correcting capabilities in order to adapt to changing applications and environments, are effective. However, in these systems, a receiver cannot always select the correct decoder which causes decoding errors, usually referred to as decoder-selection-errors (DSE) (Mari Matsunaga, et al., 1998). We propose a trellis encoder estimation scheme that compensates for this problem. This scheme uses the circuit of FSM to limit the encoder transition and the Viterbi algorithm for maximum likelihood trellis encoder estimation. Computer simulations are applied for evaluating the DSE rate, of the proposed scheme in comparison with a conventional scheme.