Narrowband Interference Mitigation Based on Compressive Sensing for OFDM Systems
Summary :
A narrowband interference (NBI) estimation and mitigation method based on compressive sensing (CS) for communication systems with repeated training sequences is investigated in this letter. The proposed CS-based differential measuring method is performed through the differential operation on the inter-block-interference-free regions of the received adjacent training sequences. The sparse NBI signal can be accurately recovered from a time-domain measurement vector of small size under the CS framework, without requiring channel information or dedicated resources. Theoretical analysis and simulation results show that the proposed method is robust to NBI under multi-path fading channels.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.3 pp.870-873
- Publication Date
- 2015/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.870
- Type of Manuscript
- LETTER
- Category
- Noise and Vibration
Authors
Sicong LIU
Tsinghua National Laboratory of Information Science and Technology (TNList), Tsinghua University
Fang YANG
Tsinghua National Laboratory of Information Science and Technology (TNList), Tsinghua University
Chao ZHANG
Tsinghua National Laboratory of Information Science and Technology (TNList), Tsinghua University
Jian SONG
Tsinghua National Laboratory of Information Science and Technology (TNList), Tsinghua University,National Engineering Lab. for DTV (Beijing)
Keyword
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Sicong LIU, Fang YANG, Chao ZHANG, Jian SONG, "Narrowband Interference Mitigation Based on Compressive Sensing for OFDM Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 3, pp. 870-873, March 2015, doi: 10.1587/transfun.E98.A.870.
Abstract: A narrowband interference (NBI) estimation and mitigation method based on compressive sensing (CS) for communication systems with repeated training sequences is investigated in this letter. The proposed CS-based differential measuring method is performed through the differential operation on the inter-block-interference-free regions of the received adjacent training sequences. The sparse NBI signal can be accurately recovered from a time-domain measurement vector of small size under the CS framework, without requiring channel information or dedicated resources. Theoretical analysis and simulation results show that the proposed method is robust to NBI under multi-path fading channels.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.870/_p
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@ARTICLE{e98-a_3_870,
author={Sicong LIU, Fang YANG, Chao ZHANG, Jian SONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Narrowband Interference Mitigation Based on Compressive Sensing for OFDM Systems},
year={2015},
volume={E98-A},
number={3},
pages={870-873},
abstract={A narrowband interference (NBI) estimation and mitigation method based on compressive sensing (CS) for communication systems with repeated training sequences is investigated in this letter. The proposed CS-based differential measuring method is performed through the differential operation on the inter-block-interference-free regions of the received adjacent training sequences. The sparse NBI signal can be accurately recovered from a time-domain measurement vector of small size under the CS framework, without requiring channel information or dedicated resources. Theoretical analysis and simulation results show that the proposed method is robust to NBI under multi-path fading channels.},
keywords={},
doi={10.1587/transfun.E98.A.870},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Narrowband Interference Mitigation Based on Compressive Sensing for OFDM Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 870
EP - 873
AU - Sicong LIU
AU - Fang YANG
AU - Chao ZHANG
AU - Jian SONG
PY - 2015
DO - 10.1587/transfun.E98.A.870
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2015
AB - A narrowband interference (NBI) estimation and mitigation method based on compressive sensing (CS) for communication systems with repeated training sequences is investigated in this letter. The proposed CS-based differential measuring method is performed through the differential operation on the inter-block-interference-free regions of the received adjacent training sequences. The sparse NBI signal can be accurately recovered from a time-domain measurement vector of small size under the CS framework, without requiring channel information or dedicated resources. Theoretical analysis and simulation results show that the proposed method is robust to NBI under multi-path fading channels.
ER -
English
