A Signal Decomposition Method Based on Multi-Layer Iteration Structured Singular Spectrum Analysis

Authors

Yumiao Wei, 1. Rocket Force University of Engineering, Xi'an 710025, China; ;
Zhili Zhang, 1. Rocket Force University of Engineering, Xi'an 710025, China; ;
Hongguang Li, 2. Unit 92786 of the Chinese PLA, Hanzhong 723000, China;
Shuqing Li, 2. Unit 92786 of the Chinese PLA, Hanzhong 723000, China;

Abstract

Abstract: To process the complex signals with concentrated frequency distribution, an adaptive decomposition method based on singular spectrum analysis with multi-layer iteration structure is researched. The traditional singular spectrum analysis is improved by frequency band subdivision and iterative filtering approach. A high-precision decomposition algorithm base on recursive structure is therefore designed, solving the problems such as insufficient adaptive capability and unsatisfied decomposition. Simulation results show that adaptive decomposition capability of the proposed method is effectively enhanced. For the multi-mode vibration signal with 0.2% ratio of spitting frequency to center frequency, the components are all accurately extracted, and consistent well with the theoretical value.

Recommended Citation

Wei, Yumiao; Zhang, Zhili; Li, Hongguang; and Li, Shuqing (2021) "A Signal Decomposition Method Based on Multi-Layer Iteration Structured Singular Spectrum Analysis," Journal of System Simulation: Vol. 33: Iss. 8, Article 8.
DOI: 10.16182/j.issn1004731x.joss.20-0267
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss8/8

First Page

1818

Revised Date

2020-06-29

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0267

Last Page

1824

CLC

TM743;TP391

Recommended Citation

Wei Yumiao, Zhang Zhili, Li Hongguang, Li Shuqing. A Signal Decomposition Method Based on Multi-Layer Iteration Structured Singular Spectrum Analysis[J]. Journal of System Simulation, 2021, 33(8): 1818-1824.

DOI

10.16182/j.issn1004731x.joss.20-0267