Comparison and Analysis of the Performance on Measurement Matrix to Spectrum Estimation
Keqing Wang, Yong-gang Zhu, Jian-zhong Chen, Ying-tao Niu
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.213How to use a DOI?
- Compressed Sensing(CS); Measurement Matrix; Power Spectrum Estimation(PSD)
- In the spectrum estimation algorithm based on Compressed Sensing, the selection of measurement matrix has significant influence on whether can estimate the signal power spectrum with high precision. In the article, it briefly describes the basic principles of spectrum estimation algorithm and the common measurement matrixes. In addition, it presents a detailed comparison and analysis of the construction method, pros and cons among random measurement matrix, structured measurement matrix and deterministic measurement matrix. On this basis, aiming at single-tone, multi-tone and QPSK signals, the feasibility of six kinds of measurement matrixes used in power spectrum estimation based on compressed sensing were validated and compared the estimation performance by simulations. The simulation results show that Toeplitz matrix can obtain the minimum NMSE at the same compression ratio.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Keqing Wang AU - Yong-gang Zhu AU - Jian-zhong Chen AU - Ying-tao Niu PY - 2012/11 DA - 2012/11 TI - Comparison and Analysis of the Performance on Measurement Matrix to Spectrum Estimation BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 838 EP - 841 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.213 DO - https://doi.org/10.2991/citcs.2012.213 ID - Wang2012/11 ER -