作　　者： ; ;

机构地区： 华南理工大学自动化科学与工程学院

出　　处： 《电子技术应用》 2009年第12期109-112,共4页

摘　　要： 结合QR分解的迭代检测算法与连续干扰消除思想提出了一种新型的QR迭代检测算法。该算法充分利用最后检测层分集增益最高、性能最优的特点,在每一次QR分解之后,仅保留最后检测层的判决,在接收信号中消除已判决信号的干扰,并将信道矩阵中已判决信号的列删除,降低信道矩阵列的维数后,进行下一次QR分解,直到所有层的信号都检测出来。分析表明,新型QR迭代检测算法复杂度大约为连续干扰消除算法的1/8,约为传统迭代检测算法的1/2。仿真试验表明,对称系统中新型QR迭代检测算法性能与传统迭代检测算法基本保持一致,都要优于连续干扰消除算法。 Based on the combination of iterative QR decomposition algorithm and successive interference, cancellation theory, this paper represents a new iterative detection algorithm based on QR decomposition. Firstly, this algorithm fully use the diversity provided by multi-antenna system, after QR decomposition for each time, just hold the last layer＇s signal. Then cancel the detected signal＇s interference and delete the channel matrix＇s relevant column. Repeat this process .until all signals have been detected. The analysis shows that the complexity of the new iterative detection algorithm is ten times less complex than OSIC and two times less complex than traditional iterative detection algorithm. The simulation test shows that the new iterative detection algorithm performance is the same as traditional iterative detection algorithm performance,and better than OSIC algorithm performance.

关 键 词： 多输入多输出 连续干扰消除 迭代 分解 复杂度

领　　域： [电子电信] [电子电信]