吉林大学学报(信息科学版) ›› 2018, Vol. 36 ›› Issue (5): 492-496.

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基于遗传算法的频谱池ICI 优化算法

刘苗1,刘彦昌1,孙振兴1,2   

  1. 1. 东北石油大学( 秦皇岛校区)  电子信息工程系,河北秦 皇岛066004; 2. 东北大学 计算机科学与工程学院,沈阳110006
  • 出版日期:2018-09-24 发布日期:2019-01-18
  • 作者简介:刘苗( 1980— ) ,女,乌鲁木齐人,东北石油大学副教授,博士后,主要从事认知无线电研究,( Tel) 86-18603379341 ( E-mail) lm_jlu@163. com。
  • 基金资助:
    国家自然科学基金青年基金资助项目( 61601111) ; 黑龙江省博士后启动基金资助项目( LBH-Q16309)

Optimizing ICI Algorithm Based on Genetic Algorithm for Spectrum Pooling Systems

LIU Miao1,LIU Yanchang1,SUN Zhenxing1,2   

  1. 1. Department of Electronic Information Engineering,Northeast Petroleum University-Qinhuangdao,Qinhuangdao 066004,China;2. School of Computer Science and Engineering,Northeastern University,Shenyang 110006,China
  • Online:2018-09-24 Published:2019-01-18

摘要: 为优化基于小波的频谱池系统中的载波间干扰( ICI: Inter-Carrier Interference) ,提出了一种基于遗传算法的载波间干扰优化方案。采用遗传算法获得最佳权重向量,抑制认知用户子载波干扰能量。该算法可在不牺牲认知用户带宽的条件下,优化认知用户载波干扰能量。仿真结果表明,在满足认知用户目标误码率条件下,明显抑制影响授权用户的载波间干扰,使授权用户获得更好的误码率性能。

关键词: 遗传算法, 载波干扰抑制, 频谱池, 小波包调制

Abstract: To optimize ICI ( Inter-Carrier Interference) of spectrum pooling system based on wavelet,the ICI suppression optimization algorithm based on genetic algorithm is proposed. The genetic algorithm is used to get the optimum weight vector for suppressing ICI energy of un-LU ( un-Licensed User ) . The algorithm can optimize un-LU interference energy without sacrificing the band-with of un-LU. Numerical and simulation results show the data transmission rate of un-LU is ensured,the ICI of LU ( Licensed User) is reduced and the BER ( Bit Error Rate) performance of LU is improved by implementing the algorithm according to target BER of un-LU.

Key words: genetic algorithm, inter-carrier interference ( ICI) suppression, spectrum pooling, wavelet packet modulation

中图分类号: 

  • TP391