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首先在发送信号属于有限字符集和FIR-MIMO信道卷积矩阵行数大于列数的情况下,给出了FIR-MIMO均衡器存在的一个充分性条件。然后,利用变换矩阵的方法把盲信号检测问题转化为二值约束下的二次规划问题,并利用遗传算法求解二次规划,最后进行了实例仿真。仿真结果表明:在FIR-MIMO信道含公零点的情况下,所提出的均衡器可以正确地恢复发送信号;而无论FIR-MIMO信道是否含有公零点,提出的直接盲多用户检测算法都比经典的子空间算法性能优越。
First of all, a sufficient condition for the existence of FIR-MIMO equalizers is given under the condition that the number of transmission lines with limited character set and FIR-MIMO channel convolution matrix is greater than the number of columns. Then, the transform matrix method is used to transform the blind signal detection problem into the quadratic programming problem under the binary constraint, and the genetic algorithm is used to solve the quadratic programming. Finally, an example simulation is carried out. The simulation results show that the proposed equalizer can recover the transmitted signal correctly when the FIR-MIMO channel contains the common zero. The proposed direct blind multi-user detection algorithm is better than the classic one The subspace algorithm has superior performance.