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基于几何均值分解的MIMO系统误码率性能分析
引用本文:唐冬,张广驰,张琳,秦家银.基于几何均值分解的MIMO系统误码率性能分析[J].中山大学学报(自然科学版),2007,46(1):40-42,47.
作者姓名:唐冬  张广驰  张琳  秦家银
作者单位:中山大学信息科学与技术学院电子与通信工程系 广东广州510275
基金项目:国家自然科学基金;国家自然科学基金;广东省联合基金;广东省科技厅科技计划;湖南省高等学校科学项目
摘    要:当发射端信道状态信息可以通过反馈或时分双工的互逆原理得到时,奇异值分解法可将MIMO信道分解为若干并行子信道以获得最大的吞吐量。然而,由于奇异值分解得到的子信道的信噪比差别很大,采用自适应编码调制技术时,该方案需要根据不同子信道的信噪比配置不同的编码、调制参数。为此,研究基于几何均值分解的MIMO复用系统下行链路误码率性能,导出其误码率表达式。研究结果表明,采用几何均值分解得到的各个子信道的误码率相同,因而便于编码、调制技术的采用。

关 键 词:多输入多输出  几何均值分解  误码率
文章编号:0529-6579(2007)01-0040-04
修稿时间:2006-06-01

BER Performance Analysis of MIMO System with Geometric Mean Decomposition
TANG Dong,ZHANG Guang-chi,ZHANG Lin,QIN Jia-yin.BER Performance Analysis of MIMO System with Geometric Mean Decomposition[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2007,46(1):40-42,47.
Authors:TANG Dong  ZHANG Guang-chi  ZHANG Lin  QIN Jia-yin
Institution:Department of Electronics and Communication Engineering, School of Information Science and Technology, Sun Yat-sen University,Guangzhou 510275, China
Abstract:To maximize the channel throughput in MIMO systems,the channel must be diagonalized via the singular value decomposition(SVD),when channel state information can be obtained at the transmitter via feedback or the reciprocal principle with using time division duplex(TDD).However,due to the very different SNRs of the subchannels,this scheme requires different parameters for adaptive modulation and coding(AMC) to match the subchannel BERs.To study the BER performance of the MIMO multiplexing system with geometric mean decomposition(GMD) in the downlink,exact BER expression is derived.Results show that the BER performances are the same for the different subchannels diagonalized via the GMD,which bring about much convenience in coding/decoding and modulation/demodulation processes.
Keywords:MIMO  geometric mean decomposition  bit error rate
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