摘要
针对常用的非穷尽列表形式后验概率检测算法直接采用恒定且较大的列表长度,导致列表冗余度大的问题,该文提出了一种自适应长度的列表球形译码算法(Adaptive Size List Sphere Decoding,ASLSD)。在算法中通过更新检测半径和设置停止条件,使检测列表长度可随信噪比和迭代次数自适应变化。而且通过将列表操作与LSD(List Sphere Decoding)检测相结合,避免了符号序列在不同半径下的重复检测。仿真表明,在较小性能损失的前提下,该算法可以大大减小所需检测列表的长度,进而有效降低接收机的复杂度。
To further reduce the redundancy of the existing non-exhaustive list MAP detection algorithms, which is induced by defining a fixed and large list size, an Adaptive Size List Sphere Decoding （ASLSD） algorithm is proposed. Through updating radius and setting stop criterion, the resulted detection list has a variable length which is adaptive with the SNR and the iteration. Moreover, by combining LSD with a list, the repeated detection with different radius is avoided. Simulation shows that with slight loss in performance, the proposed algorithm leads to a much shortened detection list, which means a simplified receiver.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第3期625-629,共5页
Journal of Electronics & Information Technology
