期刊文献+

基于频域分量最大比合并的多天线信号合成算法性能分析 被引量:3

Equalizer Performance Analysis of Frequency-Domain Max-Ratio Combining Algorithm
下载PDF
导出
摘要 通信信道的频率选择性衰落特性和信道噪声都会严重影响信号的接收质量。基于频域分量最大比合并的多天线信号合成算法(FMRC)对多路信号在频域加权合成,能够提高合成信号信噪比,实现频率选择性衰落信道下低信噪比信号的有效接收。文章针对该算法的理论性能,对合成信号均衡处理,分别推导了线性均衡器和判决反馈均衡器输出均方误差的理论表达式;证明了该算法与空间分集均衡器(SDE)在性能上的等价性。仿真实验表明,FMRC与SDE性能是一致的,但是在高信噪比下,当单路信道存在深衰落时,FMRC算法通过合成能够改善单路信道的深衰落特性,均衡器输出均方误差性能较SDE更优。 The frequency selective fading characteristics and the noise from transmission channels seriously affect signal reception. The frequency-domain max-ratio combining (FMRC) algorithm weights the antenna signals in frequency domain and improves the signal-to-noise ratio (SNR), which effectively impletements the reception of low-SNR signals in frequency selective fading chan- nels. This paper equalizes the output combined signal in terms of the theoretical performance of FM- RC, and calculates the theoretical mean square error (MSE) performace of eighter linear equalizer or decision-feedback equalizer. The MSE performance of the FMRC algorithm is same as that of the optimal combing linear equalizer (SDE-LE) or the optimal combing feedback equalizer (SDE- DFE). Simulation results show that the MSE performance of the FMRC algorithm equals to that of SDE. However, when the channels are deeply faded and the SNR is high, the FMRC algorithm can overcome the fading characteristics by combining to some extent, thus the MSE performance outper- forms that of SDE.
机构地区 信息工程大学
出处 《信息工程大学学报》 2015年第2期178-182,共5页 Journal of Information Engineering University
基金 国家863计划资助项目(2012AA121606) 国家自然科学基金资助项目(61201380)
关键词 信号合成 最大比合并 频域 性能分析 频率选择性衰落 均衡 multi-antenna signal combination analysis frequency selective fading equalizer max ratio combing frequency domain performance
  • 相关文献

参考文献8

  • 1Rogstad D H. The SUMPLE Algorithm for Aligning Arrays of Receiving Radio Antennas : Coherence Achieved with Less Hard- ware and Lower Combining Loss[ R]. California: Jet Propulsion Laboratory, 2005.
  • 2Cheung K M. Eigen Theory for Optimal Signal Combining: A Unified Approach [ R ]. California: Jet Propulsion Laboratory, 1996.
  • 3Vilnrotter V A,Rodemich E R. A Real-Time Signal Combining System for Ka-Band Feed Arrays Using Maximum Likelihood Weight Estimates [ R]. California: Jet Propulsion Laboratory, 1990.
  • 4Balaban P,Salz J. Optimum Diversity Combining and Equalization in Digital Data Transmission with Mobile Radio-Part I : Theoretical Considerations [ J ]. IEEE Trans. Commun, 1992, 40 ( 5 ) :885-894.
  • 5Balaban P,Salz J. Optimum Diversity Combining and Equalization in Digital Data Transmission with Applications to Cellular Mobile Radio-Part II : Numerical Results [ J ]. IEEE IEEE Trans. Commun, 1992, 40 ( 5 ) :895-907.
  • 6沈彩耀,于宏毅,胡赟鹏.频率选择性信道下的多天线信号分量合成算法[J].信息工程大学学报,2012,13(1):48-53. 被引量:6
  • 7John G Proakis.数字通信[M].4版.张力军,译.北京:电子工业出版社,2004.
  • 8Moulines E, Slock D, Duhamel P. Subspace Methods for the Blind Identification of Multichannel FIR Filters [ J ] . IEEE Trans. on signal processing, 1995, 2(43) :516-526.

二级参考文献11

  • 1Rogstad D H, Mileant A, Pham T T. Antenna arraying techniques in the deep space network[ M]. New Jersey: John Wiley, 2003.
  • 2Charles H Lee, Kar-Ming, Victor A Vilnrotter. Fast Eigen-based signal combining algorithms for large antenna arrays[ C ]// IEEE Aerospace Conference Paper. 2003, 2 : 1123-1129.
  • 3Samson Million, Biren Shah, Sami Hinedi. Comparison of two maximal ratio Combining techniques in antenna arraying[ J]. IEEE Transactions Communications, 1996, 44( 11 ) : 1599-1609.
  • 4Scott K, Olasz E B, Sendyk A. Diversity combining with MLSE equalization[J]. IEEE Proc. Commun, 1998, 145(2) :105- 108.
  • 5Balaban P, Salz J. Optimum diversity combining and equalization in digital data transmission with applications to cellular mobile radio-Part I: Theoretical considerations[ J]. IEEE Trans. Commun, 1992, 40 (5) :885-894.
  • 6Byoung-Jo Kim, Cox D C. Blind diversity combining equalization for short burst wireless communications[ C ]//IEEE GLOBE- COM. 1997, 3: 1163-1167.
  • 7Venkataraman S, Mahmoud S A, Goubran R A. Filter structures for equalization and diversity combining in wireless communications [ C ]//The 3th annual international conference on universal personal communications. 1994:204-209.
  • 8Vilnrotter V A, Rodemich E R, Dolinar S J. Real-Time Combining of Residual Carrier Array Signals Using ML Weight Estimates[ J ]. IEEE Transactions Communications, 1992, 40 ( 3 ) :604-615.
  • 9Moulines E, Slock D, Duhamel P. Subspace methods for the blind identification of multichannel FIR filters[ J]. IEEE Trans. on signal processing, 1995,2(43) :516-526.
  • 10Dongmin Lim. A Modified Gardner Detector for Symbol Timing Recovery of M-PSK Signals[ J]. IEEE Transactions on Communication, 2004, 52 ( 10 ) : 1643-1647.

共引文献5

同被引文献31

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部