基于量子免疫优化的盲检测算法

Blind Detection Algorithm Based on Quantum Immune Optimization

智能算法由于其较快的寻优速度和较好的寻优效果,被广泛应用于优化问题,而盲序列检测优化算法也是研究热点。文中将量子计算理论和人工免疫算法相结合的全局优化算法——量子免疫算法应用于盲序列检测。文中算法的思想是:基于SIMO系统的BPSK发送信号盲检测数学模型构造盲检测适应度函数,利用量子免疫算法进行优化,获得最佳估计序列。算法仿真实验表明,文中提出的基于量子免疫优化的盲检测算法能够成功实现盲检测,性能优于免疫算法。

Intelligent algorithm is used widely in optimization problems with its fast optimal speed and better efficiency, and the blind se- quence detection algorithm is also research focus. The quantum immune algorithm, which is the combination of the quantum theory and the principle of immune system,is used in blind sequence detection. The algorithm thoughts is that give a blind equalization model which sends BPSK signal based on SIMO system,using projection operator of complemention to construct the fitness function,based on which quantum immune algorithm is applied to acquire the best sequence of estimation. The simulation results show that algorithm given is able to achieve blind detection, and the performance is better than immune algorithm.