Fast communication: Blind noise variance and SNR estimation for OFDM systems based on information theoretic criteria

Authors:
Kun Wang;Xianda Zhang
Affiliations:
Department of Automation, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China;Department of Automation, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China
Venue:
Signal Processing
Year:
2010

Citing 4
Cited 0

A Novel RMS Delay Spread Estimation for Wireless OFDM Systems*This work is supported by National Natural Science Foundation of China under grant 60496311.

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
New blind frequency offset estimator for OFDM systems over frequency selective fading channels

Signal Processing
Detection of signals by information theoretic criteria: generalasymptotic performance analysis

IEEE Transactions on Signal Processing
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.08

Visualization

Abstract

Blind noise variance and SNR estimators based on information theoretic criteria for orthogonal frequency division multiplexing (OFDM) systems are proposed in this paper. By using the redundancy induced by the cyclic-prefix, the unknown channel order is estimated via minimum length description (MDL) or Akaike information criterion (AIC), and the noise variance and SNR can be obtained subsequently. The proposed methods do not require any pilot symbols and therefore improve the spectrum efficiency. Simulation results are presented to highlight the benefit of the proposed algorithms compared with the other existing blind methods.