期刊文献+

TDCS压缩感知观测矩阵构造方法 被引量:4

Constructive method of CS measurement matrix in TDCS
下载PDF
导出
摘要 针对TDCS宽带压缩频谱感知使用随机性压缩感知观测矩阵结构复杂且不确定的问题,提出一种确定性嵌入式混沌序列-循环Toeplitz结构压缩感知观测矩阵构造方法。选用初值为0.2的四阶Chebyshev型嵌入Logistic型,形成嵌入式混沌序列,产生相关性渐进最优的确定序列,进行循环Toeplitz结构形成观测矩阵。仿真结果表明,嵌入式混沌序列-循环Toeplitz结构观测矩阵较随机高斯、随机贝努利观测矩阵有更好的稳定性和RIP特性,在相同稀疏度下具有更小的重构误差,更易精确重构。 Random compressed sensing (CS) measurement matrix structure used in TDCS wideband compressed spectrum sensing is complex and uncertain, to solve the problem, a deterministic CS measurement matrix construction method was put forward, namely embedded chaos sequence-cycle Toeplitz structure. The fourth-order Chebyshev type whose initial value was 0.2 was em- bedded into Logistic type to form embedded chaotic sequence. The determination sequence with optimal correlation was produced. Deterministic CS measurement matrix was formed by cycle-Toeplitz structure. Simulation results show that embedded chaos sequence-cycle Toeplitz structure measurement matrix has better RIP speciality and stability compared to random Gaussian and random Bernoulli. In the same sparse degree, it has smaller reconstruction error and can be reconstructed more accurately.
出处 《计算机工程与设计》 北大核心 2017年第1期7-11,共5页 Computer Engineering and Design
基金 国家自然科学基金项目(61401499)
关键词 TDCS频谱感知 压缩感知观测矩阵 嵌入式混沌序列 循环Toeplitz结构 TDCS spectrum sensing compressed sensing measurement matrix embedded chaos sequence cycle-Toeplitz structure
  • 相关文献

参考文献8

二级参考文献131

  • 1焦现军,张磊,项海格.单载波频域均衡系统中的PN信道估计算法[J].北京大学学报(自然科学版),2007,43(1):103-108. 被引量:10
  • 2王甫莉,阔永红,陈健,刘献玲.MIMO-OFDM系统信道估计算法综述[J].电子科技,2007,20(2):73-75. 被引量:11
  • 3PANCALDI F, VITETTA G, KALBASI R, et al. Single-carrier frequency domain equalization [J]. IEEE Signal Processing Magazine, 2008, 25(5): 37-56.
  • 4FALCONER D, ARIYAVISITAKUL S L, BENY- AMIN-SEEYAR A, et al. Frequency domain equaliza- tion for single-carrier broadband wireless systems [J]. IEEE Communications Magazine, 2002, 40 (4) : 58- 66.
  • 5COON J, SANDELL M, BEACH M, et al. Channel and noise variance estimation and tracking algorithms for unique-word based single-carrier systems [J]. IEEE Transactions on Wireless Communications, 2006, 5(6) :1488-1496.
  • 6ZHENG Yahong, XIAO Chengshan. Channel estima- tion for frequency-domain equalization of single-carrier broadband wireless communications [J]. IEEE Trans- actions on Vehicular Technology, 2009, 58 (2):815- 823.
  • 7BERGER C R, ZHOU Shengli, PREISIG J C, et al. Sparse channel estimation for multicarrier underwater acoustic communication., from subspace methods to compressed sensing [J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1708-1721.
  • 8TAUBOCK G, HLAWATSCH F, EIWEN D, et al. Compressive estimation of doubly selective channels in multicarrier systems: leakage effects and sparsity- enhancing processing [J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2) : 255-271.
  • 9HAUPT J, BAJWA W U, RAZ G, et al. Toeplitz compressed sensing matrices with applications to sparse channel estimation [J].IEEE Transactions on Information Theory,2010, 56(11) : 5862-5875.
  • 10PAREDES J L, ARCE G R, WANG Zhongmin. U1- tra-widehand compressed sensing: channel estimation [J]. IEEE Journal of Selected Topics in Signal Pro- cessing, 2007, 1(3) :383-395.

共引文献70

同被引文献25

引证文献4

二级引证文献6

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