Realization of basic ant colony algorithm in multi-user detection is presented

and aiming at the shortcomings of the basic ant colony algorithm is easy to fall into local optimal solution.An improved ant colony algorithm for multi-user detection is proposed.The algorithm updates pheromone using the tandem multi-stage renew strategy.Firstly

updates selective pheromone.Secondly

introduces the random disturbance factor to further modify the pheromone.Thirdly

uses the maximum threshold to determine the range of the pheromone.The simulation results show that the proposed updating of cascade pheromone ant colony optimization multiuser detection（UCP-ACO-MUD）algorithm has strong performance of out of the local optimal solution and good effect.