CAJ | 학술논문

为了提高SDMA-MIMO系统接收机的整体性能，提出基于遗传算法的最小均方误差多用户检测和信号解调的联合优化算法。该算法把解调后的用户信息作为遗传算法的初始种群，从而提高多用户检测的初始精度，并通过多次迭代使系统性能得到提高。仿真结果表明：在同样复杂度的情况下，相比基于遗传算法的MMSE检测技术，MMSE-GA MJD可以获得更优的系统性能。
위료제고SDMA-MIMO계통접수궤적정체성능，제출기우유전산법적최소균방오차다용호검측화신호해조적연합우화산법。해산법파해조후적용호신식작위유전산법적초시충군，종이제고다용호검측적초시정도，병통과다차질대사계통성능득도제고。방진결과표명：재동양복잡도적정황하，상비기우유전산법적MMSE검측기술，MMSE-GA MJD가이획득경우적계통성능。
To improve the overall system performance for SDMA-MIMO, the joint MMSE multi-user detection and signal demodu-lation based on genetic algorithm is proposed .The algorithm values the demodulated user information as the initial population of the genetic algorithm , so the accuracy of multi-user detection algorithm is improved , and the system performance is improved after several iterations .Simulation results show that at the modest complexity , compared to MMSE detection based genetic algorithm , MMSE-GA MJD can achieve better performance .