摘要
采用一种新的查表差分算法,理论分析得出,此差分算法不仅能降低硬件实现难度,而且在调制端避免了传统差分的数学运算.随后又在检测端针对多符号差分检测(MSDD)复杂度高的问题,提出结合自更新半径的球形译码(Auto-Updating Radius Sphere Detection,AUR-SD)算法的检测策略.仿真表明,结合了此两种算法的方案不仅使得复杂度得到了明显的改善,也使得在性能上相比传统宽度优先球形译码检测算法更加逼近ML算法.因此,可以作为一种较好的方案应用在差分协作系统中.
A novel look-up table differential algorithm was proposed.Theory analysis showed that it could not only improve the hardware implementation,but also avoid the mathematic processing of the traditional differential modulation.Furthermore,an auto-updating radius sphere detection algorithm （AUR-SD） for multiple symbol differential detection （MSDD） to high complexity problems in the detection side was proposed.Simulation results showed that the algorithm had lower computational complexity and was much more approximated to the performance of the ML algorithm compared to the traditional width first sphere decoding detection algorithm.Therefore,it is an ideal choice in differential cooperative systems.
出处
《中国计量学院学报》
2014年第2期197-203,共7页
Journal of China Jiliang University
基金
国家自然科学基金资助项目(No.61071119)
浙江省自然科学基金资助项目(No.Y1091155
LQ12F01010)
东南大学国家移动通信研究实验室开放性研究基金资助课题(No.2011D18)
