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Pei-Sheng Li

dblp:36/5017 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Physical-layer communications · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › synchronization › frequency synchronization
carrier frequency offset estimation		 0.222009
A blind CFO estimator based on smoothing power spectrum for OFDM systems · IEEE Trans. Commun. 2009
A closed-form blind CFO estimator based on frequency analysis for OFDM systems · IEEE Trans. Commun. 2009
Physical-layer communications
modulation		 0.222009
A blind CFO estimator based on smoothing power spectrum for OFDM systems · IEEE Trans. Commun. 2009
A closed-form blind CFO estimator based on frequency analysis for OFDM systems · IEEE Trans. Commun. 2009
Physical-layer communications › modulation › multicarrier modulation
OFDM		 0.222009
A blind CFO estimator based on smoothing power spectrum for OFDM systems · IEEE Trans. Commun. 2009
A closed-form blind CFO estimator based on frequency analysis for OFDM systems · IEEE Trans. Commun. 2009
Physical-layer communications
signal processing for communications		 0.222009
A blind CFO estimator based on smoothing power spectrum for OFDM systems · IEEE Trans. Commun. 2009
A closed-form blind CFO estimator based on frequency analysis for OFDM systems · IEEE Trans. Commun. 2009
Physical-layer communications › signal processing for communications › statistical signal processing
power spectral density		 0.012009
A blind CFO estimator based on smoothing power spectrum for OFDM systems · IEEE Trans. Commun. 2009

Methods — techniques the papers use, named apart from their topics

closed-form estimation · 0.2power spectrum smoothing · 0.1frequency analysis · 0.1
YearPublicationVenuePosition
2009 A closed-form blind CFO estimator based on frequency analysis for OFDM systems
abstract
This letter proposes a blind carrier frequency offset (CFO) estimator for orthogonal frequency-division multiplexing (OFDM) systems based on the frequency analysis of the received signal, and derives a closed-form CFO estimate. Since only one OFDM symbol is utilized instead of multi-symbol averaging, the proposed method is effective even when the CFO is time varying. Finally, analysis and simulation results indicate the outstanding performance of the proposed estimator.
Lu Wu, Xian-Da Zhang, Pei-Sheng Li, Yongtao Su
 IEEE Trans. Commun.3
2009 A blind CFO estimator based on smoothing power spectrum for OFDM systems
abstract
Carrier frequency offset (CFO) estimation is a critical problem in orthogonal frequency-division multiplexing (OFDM) systems. This letter proposes a blind CFO estimator based on smoothing the signal power spectrum. A closed-form CFO estimate is also presented, which greatly reduces the computational complexity of the proposed method. Analysis and simulation results show that the proposed estimator is very effective for OFDM systems.
Lu Wu, Xian-Da Zhang, Pei-Sheng Li, Yongtao Su
 IEEE Trans. Commun.3
2008 A Low-Complexity Blind Carrier Frequency Offset Estimator for MIMO-OFDM Systems
abstract
Carrier frequency offset (CFO) is an important problem in multi-input multi-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems. This letter proposes a blind CFO estimator for MIMO-OFDM systems with constant modulus constellations in the frequency-selective fading channels. A closed-form CFO estimate is also provided, which greatly reduces the computational complexity of the proposed method. Analysis and simulation results demonstrate that the proposed estimator is very effective for MIMO-OFDM systems.
Lu Wu, Xian-Da Zhang, Pei-Sheng Li
 IEEE Signal Process. Lett.3
2007 Blind Carrier Frequency Offset Estimators Based on Variance for OFDM Systems
abstract
Carrier frequency offset (CFO) estimation is critical in practical orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we propose two novel blind CFO estimators named the variance estimator (VE) and the approximate variance estimator (AVE) respectively with high bandwidth efficiency. Both of them are based on minimization of the variance of the received symbols on each subcarrier, but the AVE only utilizes a half of OFDM symbols needed in the VE at the cost of a little degradation in performance. Simulation results show that the proposed estimators are attractively efficient for the future wireless communications.
Lu Wu, Xian-Da Zhang, Pei-Sheng Li
 ICC3