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选择性分集合并中信噪比估计问题的研究

Research on SNR Estimation over Selective Diversity Combining
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摘要 针对高速列车无线测控通信系统,研究了多信道选择性分集合并问题。在加性高斯白噪声(AWGN)信道和多径衰落信道下,对四种信噪比(SNR)估计算法的性能进行了仿真分析,并通过均衡技术改善了多径信道下SNR估计的准确性,计算机仿真结果验证了方法的有效性。 Based on the wireless measure and control communication system of high speed trains, selective diversity combining over muhipath channels is researched in this paper. Four SNR estimators are simulated over additive white Gaussian noise channels (AWGN) and muhipath channels. The application of Equalization improves the performance of the estimation over the muhipath channels. The result of the simulation verifies the validity of this method.
出处 《中国电子科学研究院学报》 2007年第3期298-302,共5页 Journal of China Academy of Electronics and Information Technology
关键词 信噪比估计 多径 均衡 无线通信 SNR estimation muhipath equalization wireless communication
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参考文献9

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