一种低复杂实现框架及在多码元差分检测中的应用

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检测结构分析了该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息及衰落信道下多码元差分检测ＭＳＤＤ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诉线性增长，而最佳ＭＳＤＤ复杂度呈指数增长。

A General Framework for Low Complexity Implementaion and Its Application in Multi-Symbol Differential Detection

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 .