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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Hybrid Type-2 Fuzzy Based Channel Estimation for MIMO-OFDM System with Doppler Offset Influences
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Hybrid Type-2 Fuzzy Based Channel Estimation for MIMO-OFDM System with Doppler Offset Influences

机译：具有多普勒偏移影响的MIMO-OFDM系统的混合型-2模糊信道估计

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摘要

The channel estimation methods track and predict the variation in channel characteristics, so that the original signal can be obtained after nullifying the channel induced influences. The channel estimation methods impact the overall performance of the MIMO-OFDM system. When the communicating nodes are mobile, a complete estimation of the fast time varying channel is accomplished if the Doppler offset is evaluated along with the channel gain. However, most of the channel estimation approaches proposed in literature for MIMO-OFDM systems assume that the Doppler offset contributed by highly mobile communicating nodes is already known to the receiver. The estimation of the Doppler offset with the channel coefficients renders the channel estimation problem non linear. In this paper, the issue of this non linear channel estimation for high mobility communicating nodes with associated dynamic Doppler offset in a MIMO-OFDM system is addressed. In order to obtain complete information of the channel which includes the channel coefficients and the associated Doppler offsets, a hybrid interval type-2 fuzzy aided Kalman filter for channel estimation is proposed. The type-2 fuzzy based membership functions are used here opposed to the type-1 fuzzy membership functions because the type-2 fuzzy membership functions are capable of effective modeling even under high degree of uncertainties. Furthermore, a detailed computational complexity analysis of the proposed algorithm is presented which shows that the algorithm has moderate computational complexity and has good performance in fast time varying channel conditions with high node mobility in a MIMO-OFDM system.
机译：信道估计方法跟踪并预测信道特性的变化，从而可以在使信道引起的影响下实现后可以获得原始信号。信道估计方法会影响MIMO-OFDM系统的整体性能。当通信节点是移动移动时，如果与信道增益一起评估多普勒偏移量，则完成快速时间变化信道的完整估计。然而，用于MIMO-OFDM系统的文献中提出的大多数信道估计方法假设由高度移动通信节点贡献的多普勒偏移已经已知接收器。与信道系数的多普勒偏移的估计使信道估计问题非线性。在本文中，解决了MIMO-OFDM系统中具有相关动态多普勒偏移的高移动性通信节点的该非线性信道估计的问题。为了获得包括信道系数和相关联的多普勒偏移的信道的完整信息，提出了一种用于信道估计的混合间隔类型-2模糊辅助辅助卡尔曼滤波器。这里使用Type-2模糊基于的成员资格函数与类型-1的模糊会员函数相反，因为2型模糊隶属函数能够在高度的不确定性下能够有效建模。此外，提出了所提出的算法的详细计算复杂性分析，其示出了该算法具有中等的计算复杂度，并且在MIMO-OFDM系统中具有高节点移动性的快速时间变化的信道条件具有良好的性能。

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