An Adaptive Approach of Semi-blind Data and Channel Estimation for Meteor Burst Communications

In view of the characteristics of the meteor burst channel, the variable rate data transmission mechanism for meteor burst communication (MBC). Based on the estimation of the system parameters, the joint data and channel estimation for maximum likelihood sequence detection (MLSD) is presented, which performs the principle of per-survivor processing (PSP) and adapts to the structure of MBC data frame. An adaptive state reduction of PSP (ASRP) algorithm whose states are chosen by time-varying threshold according to the exponential decay of meteor channel is proposed, which can make good tradeoff between performance and computational complexity, and provides reliable data transmission for adaptive modulation and coding (AMC) of MBC system. Computer simulation results and complexity evaluation are also included to support our development.