Block detection of multiple symbol DPSK in a statistically unknown time-varying channel

Authors:
Nathan Ricklin;James R. Zeidler
Affiliations:
School of Electrical and Computer Engineering, University of California, San Diego, La Jolla, California;School of Electrical and Computer Engineering, University of California, San Diego, La Jolla, California
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 5
Cited 0

Lattice basis reduction: improved practical algorithms and solving subset sum problems

Mathematical Programming: Series A and B
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences

IEEE Transactions on Signal Processing
Generalized differential encoding: a nonlinear signal processingperspective

IEEE Transactions on Signal Processing
Closest point search in lattices

IEEE Transactions on Information Theory
On maximum-likelihood detection and the search for the closest lattice point

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a detection scheme for multiple-symbol DPSK for use in a statistically unknown time-varying channel. The scheme relies on a parametric representation of the time-varying channel, resulting in a reduction in the number of parameters required to be determined by optimizing a maximum likelihood sequence estimation (MLSE) type cost function. We also present a reduced-complexity version of the detection scheme based on sphere decoding. Analysis and simulations show good performance in Rayleigh fading over varying degrees of channel time-variation for an appropriately selected channel parameterization.