A Semiblind Two-Way Training Method for Discriminatory Channel Estimation in MIMO Systems

A Semiblind Two-Way Training Method for Discriminatory Channel Estimation in MIMO Systems
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MIMO系统中判别性信道估计的半盲双向训练方法

DOI:
10.1109/tcomm.2014.2326394
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发表时间:
2014-05
影响因子:
8.3
通讯作者:
Zhang Yan
Zhang Yan
中科院分区:
计算机科学2区
文献类型:
--
作者:
Yang Junjie;Xie Shengli;Zhou Xiangyun;Yu Rong;Zhang Yan

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鉴别信道估计(Discriminatory Channel Estimation,DCE)是近年来发展起来的一种在多输入多输出(Multiple-Input Multiple-Output,MIMO)无线系统中扩大合法接收机(Legal Receiver,LR)和非授权接收机(Unauthorized Receiver,UR)性能差异的方法。具体地,它利用适当设计的训练信号来降低UR处的信道估计,这反过来限制了UR在数据传输期间的窃听能力。在本文中,我们提出了一个新的双向训练计划的DCE通过利用白化旋转(WR)的半盲方法。为了表征DCE的性能,推导出LR和UR的信道估计的归一化均方误差(NMSE)的封闭形式的表达式。此外,NMSE的分析结果被用来执行最佳的功率分配之间的训练信号和人工噪声(AN)。与现有的基于线性最小均方误差(LMMSE)信道估计的DCE方案相比,该方案采用半盲方法,具有更好的DCE性能;同时,该方案对导频污染攻击下的主动窃听具有鲁棒性,而现有方案在这种攻击下会失败。
Discriminatory channel estimation (DCE) is a recently developed strategy to enlarge the performance difference between a legitimate receiver (LR) and an unauthorized receiver (UR) in a multiple-input multiple-output (MIMO) wireless system. Specifically, it makes use of properly designed training signals to degrade channel estimation at the UR, which in turn limits the UR's eavesdropping capability during data transmission. In this paper, we propose a new two-way training scheme for DCE through exploiting a whitening-rotation (WR) based semiblind method. To characterize the performance of DCE, a closed-form expression of the normalized mean squared error (NMSE) of the channel estimation is derived for both the LR and the UR. Furthermore, the developed analytical results on NMSE are utilized to perform optimal power allocation between the training signal and artificial noise (AN). The advantages of our proposed DCE scheme are twofold: Compared with the existing DCE scheme based on the linear minimum mean square error (LMMSE) channel estimator, the proposed scheme adopts a semiblind approach and achieves better DCE performance; and the proposed scheme is robust against active eavesdropping with the pilot contamination attack, whereas the existing scheme fails under such an attack.
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