Blind detection algorithm based on adaptive chaotic particle swarm optimization

For the blindness in initialization of particle swarm optimization algorithm and the phenomenon of premature occurred in the course of evolution, a new algorithm is proposed in this paper: blind detection algorithm based on adaptive chaotic particle swarm optimization. The performance simulation shows that, using of randomness and ergodicity of chaos, the improved algorithm compared with the method in the literature has more advantages like good global convergence, fast convergence speed and low bit error rate. This new algorithm can solve blind detection problem successfully.