吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 861-866.doi: 10.13229/j.cnki.jdxbgxb201403045
高敬鹏,赵旦峰,周相超,付芳
GAO Jing-peng,ZHAO Dan-feng,ZHOU Xiang-chao,FU Fang
摘要: 针对最大似然检测算法复杂度高,最小二乘信道估计性能较差等缺陷,提出了一种SAGE-IGQS联合估计检测算法,该算法使用LS算法进行信道初始化,采用SAGE算法进行信道迭代估计,并结合改进的Grover量子搜索算法进行信号检测,从而提高了系统的有效性。理论研究和仿真结果表明:该算法在降低系统复杂度的情况下,误比特率性能优于传统的联合检测算法,与理想信道估计下的最大似然检测算法相接近。
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