A Novel Compressed Sensing-Based Channel Estimation Method for OFDM System
Summary :
Mutipath matching pursuit (MMP) is a new reconstruction algorithm based on compressed sensing (CS). In this letter, we applied the MMP algorithm to channel estimation in orthogonal frequency division multiplexing (OFDM) communication systems, and then proposed an improved MMP algorithm. The improved method adjusted the number of children generated by candidates. It can greatly reduce the complexity. The simulation results demonstrate that the improved method can reduce the running time under the premise of guaranteeing the performance of channel estimation.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.1 pp.322-326
- Publication Date
- 2017/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.322
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Liping XIAO
Yanshan University
Zhibo LIANG
Yanshan University
Kai LIU
Yanshan University
Keyword
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Liping XIAO, Zhibo LIANG, Kai LIU, "A Novel Compressed Sensing-Based Channel Estimation Method for OFDM System" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 1, pp. 322-326, January 2017, doi: 10.1587/transfun.E100.A.322.
Abstract: Mutipath matching pursuit (MMP) is a new reconstruction algorithm based on compressed sensing (CS). In this letter, we applied the MMP algorithm to channel estimation in orthogonal frequency division multiplexing (OFDM) communication systems, and then proposed an improved MMP algorithm. The improved method adjusted the number of children generated by candidates. It can greatly reduce the complexity. The simulation results demonstrate that the improved method can reduce the running time under the premise of guaranteeing the performance of channel estimation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.322/_p
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@ARTICLE{e100-a_1_322,
author={Liping XIAO, Zhibo LIANG, Kai LIU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Novel Compressed Sensing-Based Channel Estimation Method for OFDM System},
year={2017},
volume={E100-A},
number={1},
pages={322-326},
abstract={Mutipath matching pursuit (MMP) is a new reconstruction algorithm based on compressed sensing (CS). In this letter, we applied the MMP algorithm to channel estimation in orthogonal frequency division multiplexing (OFDM) communication systems, and then proposed an improved MMP algorithm. The improved method adjusted the number of children generated by candidates. It can greatly reduce the complexity. The simulation results demonstrate that the improved method can reduce the running time under the premise of guaranteeing the performance of channel estimation.},
keywords={},
doi={10.1587/transfun.E100.A.322},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - A Novel Compressed Sensing-Based Channel Estimation Method for OFDM System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 322
EP - 326
AU - Liping XIAO
AU - Zhibo LIANG
AU - Kai LIU
PY - 2017
DO - 10.1587/transfun.E100.A.322
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2017
AB - Mutipath matching pursuit (MMP) is a new reconstruction algorithm based on compressed sensing (CS). In this letter, we applied the MMP algorithm to channel estimation in orthogonal frequency division multiplexing (OFDM) communication systems, and then proposed an improved MMP algorithm. The improved method adjusted the number of children generated by candidates. It can greatly reduce the complexity. The simulation results demonstrate that the improved method can reduce the running time under the premise of guaranteeing the performance of channel estimation.
ER -
English
