期刊文献+

基于分支定界算法的DS-CDMA UWB系统多用户检测技术研究

Study on multi-user detection techniques for DS-CDMA UWB system based on branch and bound algorithm
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摘要 研究一种带预处理的检测器,利用预处理动态设定的门限值直接判决用户的比特数据信息,用以解决线性多用户检测器由于判决门限值固定而影响检测性能的问题;利用分支定界算法进行预处理可以得到全局最优解,将原有的多用户检测问题转变成较小规模的检测问题,以达到减少多址干扰、增加正确判决的概率以及降低系统检测误码率的目的.仿真实验结果表明:预处理后,系统检测正确判决的概率增大,误码率降低. A kind of pre-processing of multi-user detection has been researched. Through the pre-processing, dynam-ic threshold is set to direct decide the user's data bit information so as to solve the problem that the linear multi-user detector's decision threshold which is fixed impact the detection performance. The global optimal solution is ob- tained through pre-processing by using the branch and bound algorithm, and then the original problem changes into smaller multi user detection problem, in order to reduce multiple access interference (MAI), increase the probability of correct decision and reduce the bit error rate. The simulation experiment results show that after pre-processing the probability of correct decision has been increased, and the bit error rate has been reduced.
出处 《天津师范大学学报(自然科学版)》 CAS 2012年第3期36-41,共6页 Journal of Tianjin Normal University:Natural Science Edition
基金 国家自然科学基金资助项目(60972106) 中国博士后基金资助项目(20090450750)
关键词 超宽带 DS-CDMA 多用户检测器 多址干扰(Multiple Access Interference MAI) 分支定界算法 uhra-wideband (UWB) DS-CDMA multi-user detector MAI branch and bound algorithm
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参考文献20

  • 1法拉纳克.尼库加.超宽带通信原理及应用[M].任品毅,廖学文,梁中华,译.西安:西安交通大学出版社,2007:39-43.
  • 2LI J,BLUM R S,STOICA P,et al.Introduction to the issueon MIMO radar and its applications[J].Journal on SelectedTopics in Signal Processing,2010,4(1):2-4.
  • 3HONIG M L.Advances in Multiuser Detection[M].NewJersey:John Wiley&Sons Inc,2009:121-123.
  • 4LIU X M,ZHANG X H,YUAN J.Relevance vector machineand fuzzy system based multi-objective dynamic design optimi-zation:A case study[J].Expert Systems with Applications,2010,37(5):3598-3604.
  • 5FU H Y,WU H L,ZOU H Y,et al.Automatic configurationof optimized sample-weighted least-squares support vector ma-chine by particle swarm optimization for multivariate spectralanalysis[J].Anal Methods,2010(2):282-288.
  • 6TIPPING M E.Sparse Bayesian learning and the relevancevector machine[J].Journal of Machine Learning Research,2001,1(3):211-244.
  • 7TOLAMBIYA A,KALRA P K.Relevance vector machinewith adaptive wavelet kernels for efficient image coding[J].Neurocomputing,2010,73(7/8/9):1417-1424.
  • 8唐军.超宽带无线技术——UWB[J].现代通信,2003(10):3-3. 被引量:8
  • 9杨晓非,刘银碧,代睿.UWB技术及前景探讨[J].数据通信,2003(4):12-14. 被引量:9
  • 10张在琛,毕光国.超宽带关键技术分析及发展策略的思考[J].电气电子教学学报,2004,26(3):6-10. 被引量:9

二级参考文献38

  • 1董江波,王刚,李道本.CDMA系统中MAP迭代多码检测技术的研究[J].北京邮电大学学报,2004,27(6):59-63. 被引量:5
  • 2罗振东,高宏,刘元安,高锦春.抑制多窄带干扰的超宽带脉冲设计方法[J].北京邮电大学学报,2005,28(1):55-58. 被引量:19
  • 3梁朝晖,周正.基于小波的超宽带脉冲波形设计[J].北京邮电大学学报,2005,28(3):43-45. 被引量:12
  • 4.FCC放宽超高速无线技术UWB的使用限制.中国信息产业网,.
  • 5.超宽带无线(UWB)会不负众望吗.赛迪网,.
  • 6K. S. Schneider. Optimum detection of code - division multiplexed signals[J]. IEEE Trans. Aerosp. Electron. Syst. 1979,15(1) :181 - 185.
  • 7S. Verdu. Minimum Probability of Error for Asynchronous Gaussian Multiple Access Channels[J]. IEEE Trans. on Info. 1986, 32(1) : 85-96.
  • 8S. Verdu. Minimum Probability of Error for Asynchronous Gausslan Multiple Access Channels[J]. IEEE Trans. on Info. 1986, 32(1) : 85 -96.
  • 9S. Verdu. Optimum multi - user asymptotic efficiency [J]. IEEE Trans. Commun. , 1986, 34: 890-897.
  • 10C.L. Bennett, G. F. Ross. Time-domain electromagnetics and its applications[J]. Proceedings of the IEEE, Vol. 66, Mar.1978:299-318

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