期刊文献+

一种基于OFDM-IDMA的小区干扰抑制方法

An iterative soft detection receiver based inter-cell interference suppression method for high-order modulation signal in OFDM system
下载PDF
导出
摘要 在下一代的无线通信正交频分复用(OFDM)系统中,提出一种基于交织迭代软解调接收机。发射机和接收机结合了交织分多址(IDMA),所提出的信号估计器(ESE)利用交织码消除邻小区干扰(ICI),结合软解调技术,通过迭代获得低误码率的高阶调制邻小区干扰抑制性能。蒙特卡洛仿真结果显示,所提出的接收机模型在16QAM的OFDM系统中,高斯以及瑞利信道条件下,均能获得较好的误码率性能。 This paper provides a new method of iterative soft detection receiver to suppress the Inter-Cell Interference(ICI) in the next generation communication Orthogonal Frequency Division Multiplexing(OFDM) system. With the combination of the Interleave-Division Multiple Access(IDMA) technology, the new Elementary Signal Estimator(ESE) in the receiver suppresses the interference from neighbor cell. Besides, the soft detection technology in the receiver can achieve the system with high-order modulation signal by using iterative detection scheme. Monte Carlo simulation results show the proposed receiver obtains the good BER performance in both AWGN and Rayleigh channel for 16QAM modulation scheme.
作者 刘俊 周小林
出处 《太赫兹科学与电子信息学报》 2013年第2期210-214,共5页 Journal of Terahertz Science and Electronic Information Technology
基金 国家高科技研究与发展计划(863)资助项目(2011AA100701) 国家自然科学基金资助项目(60802011) 国家重大科技专项课题资助项目(2012ZX03001013-004)
关键词 正交频分复用 交织分多址 邻小区干扰抑制 高阶调制 Orthogonal Frequency Division Multiplexing Interleave-Division Multiple Access Inter-cell Interference Suppression high-order modulation
  • 相关文献

参考文献13

  • 1Mitola J. Cognitive radio:Making software radios more personal[J].{H}IEEE Personal Communications,1999,(04):13-18.
  • 2曹蒙,余志勇,谭武端.基于能量和循环谱的两步频谱感知[J].信息与电子工程,2011,9(5):560-563. 被引量:4
  • 3赵海龙,张健,周劼.下一代无线通信关键技术及其在遥测中的应用[J].信息与电子工程,2012,10(1):1-6. 被引量:14
  • 4Zhang R,Liang Y C,Cui S. Dynamic resource allocation in cognitive radio network:a convex optimization perspective[J].{H}IEEE Signal Processing Magazine,2010,(03):102-114.
  • 5Mitola J. The Software radio architecture[J].{H}IEEE Communications Magazine,1995,(05):26-38.
  • 6Mitola J. Cognitive Radio:An Integrated Agent Architecture for Software Defined Radio[D].Stockholm,Sweden:Royal Institute of Technology(KTH),2000.
  • 7Bliss D,Chan A,Chang N. MIMO wireless communication channel phenomenology[J].IEEE Transactions on Antennas and Propagations,2004,(08):2073-2082.
  • 8Collin L,Berder O,Rostaing P. Optimal minimum distance-based precoder for MIMO spatial multiplexing systems[J].{H}IEEE Transactions on Signal Processing,2004,(03):617-627.
  • 9Aleksandar J,Viswanath P. Cognitive Radio:An Information-Theoretic Perspective[J].{H}IEEE Transactions on Information Theory,2009,(09):3945-3958.
  • 10Devroye N,Mitran P,Tarokh V. Achievable rates in cognitive radio channels[J].{H}IEEE Transactions on Information Theory,2006,(05):1813-1827.

二级参考文献59

  • 1胡梅霞,张海林.基于循环平稳特性的OFDM盲同步算法[J].西安电子科技大学学报,2005,32(2):264-267. 被引量:6
  • 2郭黎利,梁治国,孙志国,胥恒.基于循环移位前导序列的OFDM载波同步方法[J].信息与电子工程,2006,4(5):326-330. 被引量:2
  • 3Federal Communications Commission. Establishment of Interference Temperature Metric to Quantify and Manage Inter- ference and to Expand Available Unlicensed Operation in Certain Fixed Mobile and Satellite Frequency Bands[Z]. ET Docket 03-289,Notice of Inquiry and Proposed Rulemaking, 2003.
  • 4Mitola J, Maguire G Q. Cognitive Radio: Making Software Radios more Personal[J]. IEEE Personal Common., 1999,6(4): 13-18.
  • 5Cabric D,Tkachenko A,Brodersen R W. Spectrum Sensing Measurements of Pilot,Energy,and Collaborative Detection[C]//IEEE Military Communications Conference(MILCOM). Washington, DC:[s.n.], 2006:1-7.
  • 6Tandra R,Sahai A. Fundamental limits on detection in low SNR under noise uncertainty[C]// Wireless Networks,2005 International Conference on Communications and Mobile Computing, 2005(1):461-469.
  • 7Haykin Simon. Cognitive Radio:Brain-Empowered Wireless Communication [J]. IEEE Journal on Selected Areas in Com- munications, 2005,23(2):201-220.
  • 8Dandawate A V,Giannakis G B. Statistical test for presence of cyclostationarity[J]. IEEE Trans. on Signal Processing, 1994, 42(9):2355-2369.
  • 9Weinstein S B,Ebert P M. Data transmission by frequency-division multiplexing using the discrete Fourier transform[J]. IEEE Transactions on Communications, 1971,19(5):628-634.
  • 10Peled A,Ruiz A. Frequency domain data transmission using reduced computational complexity algorithms[C]//Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing. Denver, CO:[s.n.], 1980:964-967.

共引文献15

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