Joint channel estimation and decoding for FTNS in frequency-selective fading channels

Qiaolin Shi, Nan Wu*, Hua Wang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In this paper, we develop a joint channel estimation and decoding method for faster-than-Nyquist signaling (FTNS) transmitting over (quasi-static) time-varying frequency-selective fading channels based on the variational Bayesian (VB) framework. In contrast to existing methods, ours is capable of performing explicit frequency-domain channel estimation and decoding in a turbo mode without requiring any cyclic prefix (CP), as well preserving the computational complexity at a logarithmic level. In view of the colored noise inherent in FTNS, we propose to approximate the corresponding autocorrelation matrix by a circulant matrix, the special eigenvalue decomposition of which facilitates an efficient fast Fourier transform operation and decoupling the noise in frequency domain. In addition, through a specific partition of the received symbols, many independent estimates are obtained and combined to further improve the accuracy of the channel estimation and data detection. Simulation results show that the proposed algorithm outperforms the conventional CP-based and overlap-based frequency-domain equalization methods with known channel impulse response (CIR). Moreover, ours come within 1dB of the counterpart Nyquist system with 25% higher spectral efficiency achieved when the CIR is unknown.

Original languageEnglish
Article number7841924
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
Publication statusPublished - 2016
Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: 4 Dec 20168 Dec 2016

Keywords

  • Channel estimation
  • Colored noise
  • Faster-than-Nyquist signaling
  • Variational Bayesian
  • Without cyclic-prefix

Fingerprint

Dive into the research topics of 'Joint channel estimation and decoding for FTNS in frequency-selective fading channels'. Together they form a unique fingerprint.

Cite this