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。
To overcome the disadvantages of high computational complexity of maximum likelihood detection algorithm and the poor performance of the Least Square （LS） channel estimation, a new joint estimation and detection algorithm is proposed. In order to improve the system effectiveness, LS algorithm is applied to initialize channel and Space-alternating Generalized Expectation-maximization （SAGE） algorithm is employed to process channel iterative estimation. The proposed algorithm combines the improved Grover quantum search algorithm in signal detection. Theoretical study and simulation results show that bit error rate performance of proposed algorithm is better than that of traditional joint detection algorithm. Ideal channel estimation under the maximum likelihood algorithm can be approached by the proposed algorithm with low complexity.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2014年第3期861-866,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
'十一五'国防预研基金项目(xxxx607010102)
中央高校基本科研业务费专项基金项目(HEUCF100814)
