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一种复数球形译码算法的仿真 被引量:4

Simulation of a Complex Sphere Decoding Algorithm
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摘要 球形译码算法作为实现最大似然检测的一种有效快速算法受到了学者们的广泛关注。在通信理论中经常使用到复数信号模型,但目前尚未有文献给出在该模型下明晰的算法流程。利用信号星座图的几何特点,推导了一种保持原信号维数的复数球形译码算法;考虑到算法中涉及对整数环的特殊处理,给出了清晰的算法流程。该流程适用于各种复数矩阵信道模型与典型二维信号星座图,为复数模型下球形译码算法的研究提供了一个有效的仿真平台。 Sphere decoding (SD) is an efficient fast algorithm for Maximum Likelihood (ML) detection, which receives a considerable amount of attention. However, an explicit algorithm flow for a complex signal model, which is usually used in communication theory, hasn't yet been given in literature. By utilizing the geometric characteristics of signal constellations, a complex SD algorithm maintaining the initial signal dimension is derived. Furthermore, an explicit algorithm flow is given after considering some particular processing of integral ring involved in the algorithm. The flow is suitable for various complex matrix channel models and typical two-dimension signal constellations, providing an efficient simulation platform for the study of complex SD algorithms.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2006年第10期2980-2983,共4页 Journal of System Simulation
基金 国防科技重点实验室基金(5143505010)
关键词 复数球形译码 最大似然检测 MIMO(Multi-input Multi—output) V-BLAST(Vertical-Bell LABS LAYERED Space-Time) Complex Sphere Decoding Maximum Likelihood detection MIMO(Multi-input Multi-output) V-BLAST(Vertical-Bell Labs Layered Space-Time)
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参考文献8

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同被引文献26

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