利用自适应球面解码器在时间选择信道中有效检测空时分组码

R. Kashif, I. Safwat, A. A. Khan
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引用次数: 0

摘要

本文考虑了Alamouti空时分组编码(STBC)方案中的符号检测,采用自适应球面解码器(ASD)在时间选择性衰落信道上进行自适应半径搜索。一旦信道本质上是时变的,信道系数从一个信号间隔变化到另一个信号间隔,传统的最大似然(ML)检测器进行穷举搜索,因此在计算上变得昂贵,特别是对于多天线系统中的更高调制方案。在时间选择性衰落信道中使用SD可以获得最优的性能和中等的计算复杂度。我们将ASD的误码率(BER)性能与穷举搜索ML检测器以及Tran等人在时变信道上提出的广义简化ML检测器(GSML)进行了比较。仿真结果表明,基于Fincke和Pohst方法的ASD算法提高了系统性能,但牺牲了边际计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient detection of space time block codes in time-selective channels via Adaptive Sphere Decoder
In this paper we consider symbol detection in Alamouti's space-time block coding (STBC) scheme by using Adaptive Sphere Decoder (ASD) which carries out adaptive radius search over time-selective fading channels. Once the channel is time-varying in nature, the channel co-efficients vary from one signaling interval to another, a conventional Maximum Likelihood (ML) detector carries out exhaustive search and thus becomes computationally expensive specially for higher modulation schemes in a multi-antenna system. Use of SD in time-selective fading channel results in optimal performance with moderate computational complexity. We evaluate the bit-error rate (BER) performance of ASD as compared to the exhaustive search ML detector as well as the generalized simplified ML (GSML) detector, proposed by Tran et al. over time-varying channels. Simulation results suggest that the use of ASD algorithm based on Fincke and Pohst method improves system performance but at expense of marginal computational complexity.
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