Technology of Network & Communication
|
1189-1192

Broadband compressed sensing method based on P-IFourier observation matrix

Liu Yang1
Ren Qinghua1,2
Meng Qingwei1
Su Yuze1
1. College of Information & Navigation, Air Force Engineering University, Xi'an 710077, China
2. CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China

Abstract

Aiming at the problem of poor precision in the application of compressed sensing theory in the field of broadband spectrum sensing, and according to the sparse characteristics of the stationary signal in the frequency domain, this paper developed a broadband compression spectrum sensing method based on P-IFourier(partial-inverse Fourier) observation matrix. The new method translated the spectrum sensing problem into a typical compressed sensing problem, and used the standard orthogonal Fourier basis observation matrix which has the excellent incoherence performance to build the observation matrix in order to have good reconstruction performance and reconstruction precision. The simulation results show that compared with the Gaussian random observation matrix and the embedded chaotic sequence-cyclic Toeplitz structure observation matrix, this method can significantly reduce the mean square error of signal reconstruction in the lower SNR environment, and under the same conditions it can significantly improve the probability of reconstruction.

Foundation Support

中国电子科技集团公司航天信息应用技术重点实验室新技术研究高校合作项目(KX162600022)
国家自然科学基金资助项目(61401499)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.1009
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Network & Communication
Pages: 1189-1192
Serial Number: 1001-3695(2019)04-051-1189-04

Publish History

[2019-04-05] Printed Article

Cite This Article

刘洋, 任清华, 孟庆微, 等. 基于P-IFourier观测矩阵的宽带压缩感知方法 [J]. 计算机应用研究, 2019, 36 (4): 1189-1192. (Liu Yang, Ren Qinghua, Meng Qingwei, et al. Broadband compressed sensing method based on P-IFourier observation matrix [J]. Application Research of Computers, 2019, 36 (4): 1189-1192. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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