Adaptive coding schemes using finite state machine for software defined radio

摘要

Adaptive coding and decoding Systems that can switch amongst different coding rates and error correcting capabilities in order to adapt to changes on application and environment are effective for Software Defined Radio (SDR) However, in these systems, a receiver cannot select a correct decoder what causes decoding errors, usually referred to as Decoder-Selection-Errors (DSE). We propose a trellis encoder estimation scheme that compensates for this problem. This scheme uses the circuit of finite state machine to limit the encoder transition and Viterbi algorithm for maximum likelihood trellis encoder estimation.