Application of Velocity-Changeable Discrete Particle Swarm Optimization Algorithm for Blind Detection

This paper extended the model of continue particle swarm optimization (PSO) to discrete particle swarm optimization (DPSO) and gave its model on the basis of the analysis of conventional PSO, and, moreover, proposed a DPSO algorithm based on a velocity-changeable tunability mechanism by employing the tunable velocity of DPSO originated from the analysis of the velocity of particles, and combined with the property of a finite alphabet of blind sequence to solve the problem of direct blind sequence detection. Simulations demonstrate that this method is characterized with stronger directness and robustness compared with traditional methods and other direct blind sequence detection method and does not suffer from the limit of characteristics of channels and obtains good performance