MIMO Receiver Design in the Presence of Radio Frequency Interference
MIMO Receiver Design in the Presence of Radio Frequency Interference
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DOI：
10.1109/glocom.2008.ecp.641
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Kapil Gulati;A. Chopra;R. Heath;B. Evans;K. R. Tinsley;X. Lin
中科院分区：
文献类型：
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作者：
Kapil Gulati;A. Chopra;R. Heath;B. Evans;K. R. Tinsley;X. Lin
设计了多输入多输出（MIMO）接收机，并在加性高斯噪声假设下分析了其通信性能。然而，无线收发器可能受到使用非高斯脉冲统计很好地建模的射频干扰（RFI）的影响。在本文中，我们考虑的问题，接收机设计的两个发送，两个接收天线的MIMO系统中存在的RFI。首先，我们表明，RFI是很好的建模使用双变量米德尔顿A类模型和验证模型与实测数据。使用这个RFI模型，我们证明了传统的MIMO接收机的通信性能显着下降。然后，我们推导出最大似然（ML）接收机假设双变量米德尔顿A类噪声。此外，我们开发了一个参数估计方法，这种噪声模型，并提出了两个次优ML接收机，降低了计算复杂度。仿真结果表明，所提出的技术的符号错误率性能的显着改善接收机设计假设加性高斯噪声。
Multi-input multi-output (MIMO) receivers have been designed and their communication performance analyzed under the assumption of additive Gaussian noise. Wireless transceivers, however, may be affected by radio frequency interference (RFI) that is well modeled using non-Gaussian impulsive statistics. In this paper, we consider the problem of receiver design for a two transmit, two receive antenna MIMO system in the presence of RFI. First, we show that RFI is well modeled using a bivariate Middleton Class A model and validate the model with measured data. Using this RFI model, we demonstrate that conventional MIMO receivers experience significant degradation in communication performance. Then we derive the maximum likelihood (ML) receiver assuming bivariate Middleton Class A noise. Furthermore, we develop a parameter estimation method for this noise model and propose two sub-optimal ML receivers with reduced computational complexity. Simulations show significant improvement in symbol error rate performance of the proposed techniques over receivers designed assuming additive Gaussian noise.