Design Of Quantum Ant Colony Qptimization Blind Detection System

In the wireless communication system, the blind detection technology does not need a training sequence and can estimate transmit sequence according to the received signal and priori knowledge of the systemWwhich saves much more bandwidth. Optimization problem has important theoretical and practical value in every field of science and engineering application. The blind detection system which uses ACO has slow convergence rate and falls into local optimum easily.Quantum Ant Colony technology is a global optimization search strategy that combines Ant Colony Algorithm and quantum computing theory. The search strategy which has been widely used in various fields, has better convergence and computing speed and many other advantages. In this paper, Quantum Ant Colony technology is used in the blind detection of SIMO system for the first time and a blind detection system which based on Quantum Ant Colony search strategy is designed. For the disadvantage of the Quantum Ant Colony optimization blind detection system, this paper proposes two improved programs, which optimize the system and make better blind detection. The simulation results show that: Quantum Ant Colony optimization blind detection system can successfully solve the signal blind detection problems, while the improved system proves the accuracy and processing speed on blind detection signal, so they have a considerable research value.This paper is supported by National Natural Science Foundation of China. Based on the results of our group’s preliminary research, the main tasks are as follows:(1) Read literature and the results of our group’s research, analyze theory and development status of blind equalization and blind detection technology, and compared several intelligent optimization strategy to for the effect of blind detection.(2) Analyze and discuss the research status of the basic Ant Colony Algorithm and quantum computing theory, focus on Quantum Ant Colony Optimization techniques, which are used in the blind detection for the first time and design the Quantum Ant Colony Optimization blind detection system.(3) For the disadvantage of the Quantum Ant Colony Optimization blind detection system, two improved programs are proposed, one is based on self-adjusting revolving door policy, and another is based on self-adjusting phase rotation angle policy. Through simulation results show that the improved system has much promotion on the convergence speed and blind detection.