A MDP-based Adaptive Spread Spectrum Parameter Algorithm under Train-to-Train Communication

With the advantages of punctuality and rapidity, rail transit has become the essential transportation mode in society. To further develop it into an intelligent system, train-to-train (T2T) communication is proposed as a significant technology in recent years. In this paper, with the background and purpose of T2T communication ranging, a new composite spread spectrum sequence is proposed. An adaptive algorithm that applies the Markov Decision Process (MDP) to evaluate spread spectrum parameters is emphatically studied based on the composite sequence. The results indicated the algorithm could effectively balance the performance indicators of the spread spectrum system.