Interference Suppression Technology Based on Singular Value Decomposition of Periodic Truncated Data Matrix

QI Liangang; SHEN Zhenheng; WANG Yani; GUO Qiang; Kaliuzhny Mykola

doi:10.11999/JEIT210397

Volume 44 Issue 6

Jun. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(6): 2143-2150

QI Liangang, SHEN Zhenheng, WANG Yani, GUO Qiang, Kaliuzhny Mykola. Interference Suppression Technology Based on Singular Value Decomposition of Periodic Truncated Data Matrix[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2143-2150. doi: 10.11999/JEIT210397

Citation:

QI Liangang, SHEN Zhenheng, WANG Yani, GUO Qiang, Kaliuzhny Mykola. Interference Suppression Technology Based on Singular Value Decomposition of Periodic Truncated Data Matrix[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2143-2150. doi: 10.11999/JEIT210397

Citation:

QI Liangang, SHEN Zhenheng, WANG Yani, GUO Qiang, Kaliuzhny Mykola. Interference Suppression Technology Based on Singular Value Decomposition of Periodic Truncated Data Matrix[J]. Journal of Electronics & Information Technology, 2022, 44(6): 2143-2150. doi: 10.11999/JEIT210397

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Interference Suppression Technology Based on Singular Value Decomposition of Periodic Truncated Data Matrix

doi: 10.11999/JEIT210397

QI Liangang^{1, 2},
SHEN Zhenheng^{1, 4},
WANG Yani^{1, 4},
GUO Qiang^{1, 4
,
,},
Kaliuzhny Mykola^{1, 3}

1.
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2.
Agile and Intelligent Computing Key Laboratory of Sichuan Province, Chengdu 610036, China
3.
Kharkiv National University of Radio Electronics, Kharkiv 61166, Ukraine
4.
Key Laboratory of Advanced Marine Communication and InformationTechnology, Ministry of Industry and Information Technology, Harbin 150001, China

Funds: The National Key Research and Development Program (2018YFE0206500), The National Natural Science Foundation of China (62071140,62101155)

Received Date: 2021-05-12
Rev Recd Date: 2021-10-20

Available Online: 2021-11-04

Publish Date: 2022-06-21

Abstract

Abstract

The separation between the Periodic Frequency Modulation (PFM) interference and satellite navigation signal is not enough in the traditional transform domain, which causes severe satellite navigation signal degradation is suppressing interference. To solve this problem, a data rearrangement method based on period truncation is proposed. Using the periodicity of the PFM interfering signal, the energy scattered in a larger bandwidth is concentrated to a single frequency point in the rearranged data. Then, Singular Value Decomposition (SVD) is adopted to map the interference and the desired signal into different projection subspaces to eliminate the interference components. The simulation results show that the proposed method can reduce the overlap degree of the PFM interference and satellite navigation signals, and reduce the damage of satellite navigation signals.

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References(17)

References

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