摘要
为了避免传统MIMO-OFDM信号检测方法具有的计算量过大而导致的算法复杂度高的问题,设计了一种基于混合Taguchi方法和GA算法的MIMO-OFDM信号检测方法,首先建立了MIMO-OFDM信号检测的模型,然后依据信号检测模型建立目标函数,将目标函数作为混合Taguchi-GA算法的适应度函数,通过个体在信号检测问题的解空间中进行不断地选择、交叉和变异等操作来求解全局最优解,为了进一步增加算法的全局寻优能力,通过Taguchi方法进一步在交叉和变异之间产生新个体;最后,定义和描述了基于混合Taguchi和GA算法的MIMO-OFDM信号检测算法,仿真实验表明,文中方法能有效进行信号检测,与其他方法相比,在BPSK调制和16QAM调制情况下,均具有较小的BER均方误差。
In order to avoid the traditional MIMO--OFDM signal detection method has the problems such as large computation quantity and high algorithm complexity, a signal detection method based on MIMO--OFDM is proposed based on Taguchi and GA. Firstly, the model for MIMO-- OFDM detection is built, then according to the signal detection model to set up the goal function, the goal function is used as the fitness function for the compound Taguchi--GA algorithm. Through the individual to search, select, cross and variation to get the optimal solution. In order to improve the global search ability for the GA algorithm, the Taguchi method is used to generate the new individuals between cross and variation. Finally, the algorithm based on compound Taguchi --GA algorithm is ir/troduced. The simulation result shows the method in this paper can achieve the signal detection effectively, under the condition of BPSK and 16QAM, it has the less BER error than the other methods.
出处
《计算机测量与控制》
2015年第6期2061-2063,2066,共4页
Computer Measurement &Control
关键词
遗传算法
信号检测
适应度
均方误差
gene algorithm
signal detection
fitness
root mean square error
