Underwater Acoustic Channel Tracking based on Parameter Fault Detection Algorithm

The complex characteristics of random variant underwater acoustic channel challenge the underwater communication theory and application, i.e. channel modelling and symbol estimation, which has become a focusing problem of research circle. In order to detect the time-varying underwater channels, a real time channel tracking method based on parameter fault detection algorithm is proposed to track the random variation of the underwater channel, which can help the transmitter to determine at what time it is necessary to train the newly changed channel. The basic idea is that the variant channel parameters can be reflected by the swift variation of the designed fault detection index. Simulation results show that the parameter fault detection algorithm can track the stochastic time varying underwater channel dynamically since the test function responds swiftly when the channel changes.