文章检索

  • 检索
  • 检索词:
  • 高级检索
您是今天第 609位访问者
您是第 3655930 位访问者
基于压缩感知子空间的时延估计算法
Delay estimation algorithm based on compressed sensing subspace
投稿时间:2016-12-30  修订日期:2017-02-28
中文关键词:时延估计  压缩感知  稀疏重构  求根多重信号分类
英文关键词:time delay estimation  compressed sensing  sparse reconstruction  polynomial rooting multiple signal classification
基金项目:
作者单位
冷雪冬 Institute of Information and System Engineering, Information Engineering UniversityZhengzhou Henan 450001China 
巴 斌 Institute of Information and System Engineering, Information Engineering UniversityZhengzhou Henan 450001China 
王建辉 Institute of Information and System Engineering, Information Engineering UniversityZhengzhou Henan 450001China 
王大鸣 Institute of Information and System Engineering, Information Engineering UniversityZhengzhou Henan 450001China 
摘要点击次数: 296
全文下载次数: 129
中文摘要:
      现有单快拍条件下子空间类时延估计算法由于降低有效带宽导致估计精确度下降,多快拍条件下压缩感知类算法由于多次采样具有相似稀疏结构也导致了性能下降。针对以上条件下2种算法鲁棒性不强的问题,提出一种在单快拍与多快拍条件下均具有较高精确度的基于压缩感知子空间的时延估计算法。该算法首先判定快拍数与多径数的关系,在快拍数大于等于多径数时通过求解谱峰的目标函数得到时延估计,在快拍数小于多径数时先重构得到改进的噪声子空间,再求解谱峰的目标函数得到时延估计。仿真结果表明,该算法在单快拍与多快拍条件下具有较高的估计精确度,与子空间类算法和压缩感知类算法相比具有更好的鲁棒性。
英文摘要:
      The estimation accuracy of the subspace algorithm has dropped off because the effective bandwidth has reduced under the condition of single snapshot. The accuracy of the compressed sensing algorithm has declined because of the similar sparse structure under the condition of multiple snapshots. To deal with the weak robustness of existing algorithms,a high-performance time delay estimation algorithm is presented based on compressed sensing subspace under both conditions. The proposed algorithm derives the relationship between the multipath number and the number of snapshots. An improved noise subspace has been reconstructed. The polynomial is applied to estimate time delay. The polynomial rooting avoids the spectral peak searching and reduces the computational complexity. Simulation results show that the proposed algorithm has a high performance and a better robustness compared with subspace algorithms and compressed sensing algorithms.
引用本文:冷雪冬,巴 斌,王建辉,王大鸣.基于压缩感知子空间的时延估计算法[J].太赫兹科学与电子信息学报,2018,16(3):510~515
DOI:10.11805/TKYDA201803.0510
学科分类代码:
查看全文  查看/发表评论  下载PDF阅读器

分享按钮