A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments

A complexity-performance-balanced multiuser detector based on artificial fish swarm algorithm for DS-UWB systems in the AWGN and multipath environments
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基于人工鱼群算法的复杂性能平衡多用户检测器,适用于 AWGN 和多径环境中的 DS-UWB 系统

DOI:
10.1186/1687-6180-2012-229
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发表时间:
2012-10
影响因子:
1.9
通讯作者:
Yang, Zhutian
Yang, Zhutian
中科院分区:
工程技术4区
文献类型:
--
作者:
Yin, Zhendong;Zong, Zhiyuan;Sun, Hongjian;Wu, Zhilu;Yang, Zhutian

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本文提出了一种基于人工鱼群算法的多用户检测器(AFSA-MUD),并在加性白色高斯噪声信道和IEEE 802.15.3a多径信道下对直接序列超宽带系统进行了研究。从文献综述来看,经典最优多用户检测(OMD)的计算复杂度随用户数呈指数增长,而其它次优多用户检测器的误比特率(BER)性能并不令人满意,这些问题仍然需要解决。该方法通过人工鱼在简化的欧几里德解空间中的各种行为,在复杂度和性能之间取得了很好的折衷,该欧几里德解空间由一些次优多用户检测器的解构成。这里,这些次优检测器是最小均方误差检测器、解相关检测器和连续干扰消除检测器。由于这种新的方案,AFSA-MUD的收敛速度大大加快,迭代次数也显着减少。实验结果表明,该算法的误码性能和抗远近效应性能与OMD算法相当,而计算复杂度远低于传统OMD算法。而且,随着活跃用户数的增加,AFSA-MUD的BER性能与OMD几乎相同。
In this article, an efficient multiuser detector based on the artificial fish swarm algorithm (AFSA-MUD) is proposed and investigated for direct-sequence ultrawideband systems under different channels: the additive white Gaussian noise channel and the IEEE 802.15.3a multipath channel. From the literature review, the issues that the computational complexity of classical optimum multiuser detection (OMD) rises exponentially with the number of users and the bit error rate (BER) performance of other sub-optimal multiuser detectors is not satisfactory, still need to be solved. This proposed method can make a good tradeoff between complexity and performance through the various behaviors of artificial fishes in the simplified Euclidean solution space, which is constructed by the solutions of some sub-optimal multiuser detectors. Here, these sub-optimal detectors are minimum mean square error detector, decorrelating detector, and successive interference cancellation detector. As a result of this novel scheme, the convergence speed of AFSA-MUD is greatly accelerated and the number of iterations is also significantly reduced. The experimental results demonstrate that the BER performance and the near–far effect resistance of this proposed algorithm are quite close to those of OMD, while its computational complexity is much lower than the traditional OMD. Moreover, as the number of active users increases, the BER performance of AFSA-MUD is almost the same as that of OMD.
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