基于IEEE 802.11n的STBC MIMO系统的混合信道估计方案

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) Pub Date : 2012-12-01 DOI:10.1109/CODIS.2012.6422133

P. Gogoi, K. K. Sarma

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引用次数: 3

摘要

在本文中,我们提出了一个卡尔曼滤波器(KF)——递归神经网络(RNN)基于信道估计块多输入多输出(MIMO)基于IEEE 802.11 n信道多径衰落信道模型对室内无线局域网(WLAN)。这里使用两个发射天线和两个接收天线。在STBC编码的MIMO多径衰落信道中分别对该估计块进行了仿真，得到了误码率(BER)的优值。文中给出的设计准则和性能曲线清楚地证明了所提出的混合估计器在性能和硬件可实现性方面的有效性。

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Hybrid channel estimation scheme for IEEE 802.11n-based STBC MIMO system

In this paper, we have proposed a Kalman Filter (KF) - Recurrent Neural Network (RNN) based channel estimator block for Multiple-Input Multiple-Output (MIMO) multipath fading channels based on the IEEE 802.11n channel models for indoor wireless local area networks (WLAN). Two transmit antennas and two receive antennas are used here. The estimator block has been simulated in STBC coded MIMO multipath fading channel scenario with and without CSI, and figure of merit in terms of Bit Error Rate (BER) has been obtained. The design criteria and performance curve shown in the paper clearly proves the effectiveness of the proposed hybrid estimator, both in terms of performance and hardware realizability.

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2012 International Conference on Communications, Devices and Intelligent Systems (CODIS)

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