基于离散微粒群优化的MIMO系统多用户盲检测

Blind Multi-User Detection for MIMO System Based on Discrete Particle Swarm Optimization

充分利用移动通信发送信号属于有限字符集的特点,把M IMO(多输入多输出)系统多用户盲检测问题转换为带二值约束的二次规划问题,从而突破信道辨识条件即M IMO信道传递函数必须不可简约且列简化的苛刻限制。采用离散微粒群优化算法求解二次规划问题,利用接收数据阵的补投影算子构成适应度函数。仿真实验表明:不管传统的信道辨识条件是否满足,该算法都具有较低的信号误码率和较好的稳健性。

Using the most of the feature that transmission signals belong to a limited alphabet in mobile communications, this paper formulates the blind multi-user detection problem for MIMO system into a quadratic programming with binary constraints. This formulation breaks down the restrictive identification condition that the transfer function of MIMO channels must be irreducible and column reduced. The quadratic programming problem is solved with discrete particle swarm optimization. The fitness function is composed of the complementary projection operator of the received data matrix. Simulations show that our method achieves better performances with a lower bit-error rate and robustness without regard to the conventional channel identification condition.