摘要
基于信息论考虑提出一种低复杂实现的框架 ,对最大似然序列检测的分组 (Block)检测结构分析了该低复杂实现方案的性能并提出两命题可用于寻求低复杂实现算法。另外 ,我们将该低复杂实现框架成功应用于高斯白噪声信道及衰落信道下多码元差分检测 MSDD(Multi- Symbol Differentail Detection)的低复杂实现 ,在基本保持其性能的条件下实现了检测复杂度随多码元观察长度的线性增长 ,而最佳
A general framework for low complexity block detector is proposed based on information theory.Two propositions are presented which may be employed to find out low complexity algorithms.We have applied the proposed framework to the problem of finding low complexity algorithms for Multi Symbol Differential Detection (MSDD) over either AWGN or flat correlated rayleigh fading channels.The complexities of new fast algorithms increase roughly linearly with block length N while optimum MSDD increases exponentially with N .Simulation results show almost the same performances for practical N .
出处
《解放军理工大学学报（自然科学版）》
EI
2000年第1期49-53,共5页
Journal of PLA University of Science and Technology(Natural Science Edition)
关键词
低复杂实现
信息论
多码元差分检测
通信
low complexity implementation
information theory
multi symbol differential detection
