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收发频谱不一致条件下的变换域通信系统基函数设计 被引量:5

Basis function design for transform domain communication system in the presence of spectral mismatches
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摘要 针对变换域通信系统收发频谱不一致条件下接收端基函数存在错误而导致系统性能下降的问题,提出了具有信噪比次优解的基函数设计方法。详细分析了系统的收发过程,在此基础上研究了系统误码率的最优化与接收端基函数组成的关系,在收发频谱不一致而无法获得最优基函数的情况下,采用类似等增益合并的方法设计了接收端基函数,从而以该基函数完成数据解调。仿真结果表明:在单用户和多用户环境下,当收发频谱不一致比例较高时,接收端采用类似等增益合并的基函数设计方法可以完成系统的次优接收。在单用户环境下,相比不一致比例为40%时,次优接收方法的信噪比增益可达4dB左右,并且发送端频谱可用率为80%时,相比最优接收法的信噪比损失在1.5dB以内。 The errors of the basis function in the receiver, caused by the difference of the spectrum environment between the transmitter and receiver of Transform Domain Communication System (TDCS), will degrade the system performance significantly. A design method of the basis function, which has suboptimal solution of the Signal-to-Noise Ratio (SNR), is proposed to solve this problem. Based on a detailed study of the data sending and receiving process, the optimized Bitter Error Rate (BER) of the system and its relationship with the basis function of the receiver is discussed. In the case that the system with spectral mismatches can not obtain the optimal basis function, a design method of the basis function similar to equal-gain combing is proposed, and then this basis function is used for modulation. Simulation results show that, in the conditions of both multi-user and singleuser with high spectral mismatch ratio, the receiver is suboptimal when the basis function is designed similar to equal-gain combing. In the single-user condition, the BER performance improvement ofsuboptimal reception is approximately 4 dB compared with the reception method when the mismatch ratio is 40%, and the SNR loss is below 1.5 dB at the spectral efficiency of 80% compared with the optimal reception.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2014年第6期1825-1830,共6页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金项目(60972042 61271250 61202490)
关键词 通信技术 变换域通信系统 基函数 频谱不一致 等增益合并 信噪比次优解 communication transform domain communication system basis function spectralmismatches equal gain combing signal-to-noise ratio suboptimal solution
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参考文献12

  • 1Chakravarthy V,Shaw A K,Temple M A,et al.Cognitive radio-an adaptive waveform with spectral sharing capability[C]∥IEEE Proc IEEE Wireless Communications and Networking Conference,Piscataway N J,USA,2005:724-729.
  • 2Chakravarthy V,Nunez A S,Stephens J P,et al.TDCS,OFDM,and MC-CDMA:a brief tutorial[J].IEEE Radio Communications,2005,43(9):S11-S16.
  • 3Liu J Y,Su Y T.Performance analysis of transform domain communication systems in the presence of spectral mismatches[C]∥IEEE Proc IEEE MILCOM 2007,Orlando F L,USA,2007:1-5.
  • 4Ni Shui-ping,Deng Li-heng.Application on OFDMbased transform domain communication system in mine[C]∥Proc International Conference on Electrical Information and Mechatronics,Germany,2012:843-848.
  • 5Fumat G,ChargéP,Zoubir A,et al.Enhancing spectral efficiency of Transform Domain Communication Systems by using a multidimensional modulation[C]∥IEEE Proc 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications,Piscataway N J,USA,2011:131-135.
  • 6陈韵,王逸林,蔡平,殷敬伟,梅继丹.基于分数阶Fourier变换的远程水声通信技术研究[J].兵工学报,2011,32(9):1159-1164. 被引量:13
  • 7谢铁城,达新宇,褚振勇,曾武,王舒.采用时频分析的变换域通信系统基函数设计[J].西安交通大学学报,2012,46(6):42-47. 被引量:12
  • 8Fumat G,ChargéP,Zoubir A,et al.Using set theoretic estimation to address the PAPR problem of spectrum-constrained signals[J].IEEE Transactions on Wireless Communications,2012,11(7):2373-2381.
  • 9Su Hu,Guan Yong-liang,Bi Guo-an,et al.Clusterbased transform domain communication systems for high spectrum efficiency[J].IET Communications,2012,16(6):2734-2739.
  • 10Lu Wei-dang,Gong Yi,Ting S H,et al.Cooperative OFDM relaying for opportunistic spectrum sharing:protocol design and resource allocation[J].IEEE Transactions on Wireless Communications,2012,11(6):2126-2135.

二级参考文献25

  • 1王传丹,张忠培,李少谦.一种新的基函数产生方法与性能分析[J].电子科技大学学报,2006,35(S1):649-652. 被引量:14
  • 2陶然,邓兵,王越.分数阶FOURIER变换在信号处理领域的研究进展[J].中国科学(E辑),2006,36(2):113-136. 被引量:80
  • 3Almeida L B. The fractional Fourier transform and time-frequency representation[ J]. IEEE Transaction Signal Processing, 1994, 42 (11): 3084 -3091.
  • 4Pei S C, Yeh M H, Tseng C C. Discrete fractional Fourier transform based on orthogonal projections[ J]. IEEE Transaction Signal Processing, 1999, 47(5): 1335- 1348.
  • 5Candan C, Kutay M A, Ozaktas H M. The discrete fractional Fourier transform[J]. IEEE Transaction Signal Processing, 2000, 48 (5) : 1335 -1348.
  • 6Ozaktas H M, Arikan O, Kutay A A, et al. Digital computation of the Fourier transform [ J]. IEEE Transaction Signal Processing, 1996, 44(9) : 2141 -2150.
  • 7Pei S C, Ding J J. Closed-form discrete fractional and affine Fourier transform [ J]. IEEE Transaction Signal Processing, 2000, 48 (5) : 1338 - 1353.
  • 8Santhanam B, McClellan J H. The discreet rotational Fourier transform [J]. IEEE Transaction Signal Processing, 1996, 44 (4) : 994 -998.
  • 9Massimiliano M M. A muhicarrier system based on the fractional fourier transform for time-frequency-selective channels [ J ]. IEEE Transaction on Communications, 2001, 49 (6) : 994 - 998.
  • 10Tang Q L, Yang L Q, Qin T F, et al. Energy-saving PPM schemes for WSNs [J]. Science in China Series F: Information Science, 2008, 51(5): 571 -585.

共引文献29

同被引文献42

  • 1MITOLA JIII, MAGUIRE G Q, JR. Cognitive radio:Making Software Radios More Personal[ J ]. IEEE Personal Commu- nications,1999 (6) :13-18.
  • 2MITOLA J. Cognitive Radio:An Integrated Agent Architec- ture for Software Defined Radio, Ph.D. Dissertation [ J ]. Royal Institute of Technology,2000.
  • 3GERMAN E H. Transform Domain Signal Processing StudyFinal Report [ R ]. Tech. rep, Reisterstown, MD : Air Force F30602-86-C-0133, DTIC :ADB132635, Aug. 1988.
  • 4CHAKRAVARTHY V D, SHAW A K, TEMPLE M A, et al. Cognitive radio-an adaptive waveform with spectrum sharing capability [ J ]. IEEEWCNC ,2005 (2) :724-729.
  • 5ANDREN, CARL F, LUCAs, et al. Low Probability of Inter- cept Communication System [ P ]. U. S. Patent: 5029184, 1991-07-02.
  • 6RADCLIFFE, RODNEY A. Design and Simulation of a Transform Domain Communication System [ Z ]. MS Thesis, AFITI/GE/IENGI/96D-16,Air Force Institute of Technolo- gy,Wright- Patterson AFB OH, 1996.
  • 7ROBERTS M. Synchronization of a transform domain com- munication system [ D ]. Science in Electrical Engineering: Air Force Institute of Technology,2000.
  • 8RANDALL W. KLEIn. Wavelet Domain Communication Sys- tem( WDCS ) : Design, Model, Simulation, AndAnalysis [ Z ]. Master's Thesis,Air Force Institute of Technology,2001.
  • 9MARION JAY F. Lee. Wavelet Domain Communication Sys- tem ( WDCS ) : Packet-Based Wavelet Spectral Estimation and M-ary Signaling[ Z]. Master's Thesis, First Lieutenant USAF ,2002.
  • 10熊金石,任清华,李正刚.一种远距离航空型变换域通信系统设计与仿真[J].电讯技术,2009,49(2):14-18. 被引量:4

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