OFDM系统基于双准则优化的导频设计新方法
A new pilot design method based on dual criteria optimization for OFDM systems
  
DOI:
中文关键词:  压缩感知;导频优化;稀疏信道估计;OFDM系统
英文关键词:compressed sensing; pilot optimization; sparse channel estimation; orthogonal frequency division multiplexing (OFDM) system
基金项目:重庆市自然科学基金面上项目(cstc2021jcyj msxmX0454)资助项目
作者单位
王华华 重庆邮电大学 通信与信息工程学院,重庆 400065 
汤 帅 重庆邮电大学 通信与信息工程学院,重庆 400065 
张铁严 重庆邮电大学 通信与信息工程学院,重庆 400065 
摘要点击次数: 250
全文下载次数: 124
中文摘要:
      基于压缩感知(Compressed Sensing,CS)的OFDM(Orthogonal Frequency Division Multiplexing)系统稀疏信道估计有更小的导频开销和更好的信道估计效果。针对OFDM系统稀疏信道估计的导频图案设计,提出了一种基于双准则双分支的随机搜索算法(Double Criteria and Double Branches Random Search Schemes,DCDB RSS)。该算法结合互不相关(Mutual Incoherence Property,MIP)准则和格拉姆矩阵准则,在不同分支上采用不同优化准则全面地搜索最优导频图案,不仅解决了单一准则难以稳定取得最优导频图案的问题,同时也避免了陷入局部最优解。仿真结果表明,与现有导频优化算法相比,DCDB RSS算法在相同时间复杂度的前提下,可以获得更小的误码率和提高约1dB的信道估计均方误差。
英文摘要:
      The sparse channel estimation of the orthogonal frequency division multiplexing (OFDM) system based on compressed sensing (CS) can output better channel estimations with smaller pilot overhead. A random search algorithm based on double criteria and double branches (DCDB RSS) is proposed to design the pilot patterns of the sparse channel estimation in OFDM systems. The algorithm combines the mutual incoherence property (MIP) criterion and the Gram matrix criterion, and uses different optimization criteria on different branches to comprehensively search for the optimal pilot pattern. DCDB RSS solves the problem that a single criterion can hardly obtain the optimal pilot pattern, as well as avoids the local optimal solution. The simulation results show that with the same time complexity the DCDB RSS algorithm can obtain a smaller error rate and improve the mean square error of the channel estimation by 1dB, compared with the existing pilot optimization algorithm.
查看全文  查看/发表评论  下载PDF阅读器

你是第3088192访问者
版权所有《南京邮电大学学报(自然科学版)》编辑部
Tel:86-25-85866913 E-mail:xb@njupt.edu.cn
技术支持:本系统由北京勤云科技发展有限公司设计