Soft-input soft-output lattice sphere decoder for linear channels

Joseph Boutros, Nicolas Gresset, Loïc Brunel, Marc Fossorier

Research output: Contribution to conferencePaper

99 Citations (Scopus)

Abstract

Soft output detection for signals transmitted on linear channels is investigated. A particular emphasis is made for signal detection on multiple antenna channels. The a posteriori information at the detector output is evaluated from a shifted spherical list of point candidates. The spherical list is centered on the maximum likelihood point, which has the great advantage of stabilizing the list size. Thus, the sphere radius is selected in order to control the list size and to cope with the boundaries of the finite multiple antenna constellation. Our new soft output sphere decoder is then applied to the computation of constrained channel capacity and to the iterative detection of a coded transmission. For example, we achieved a signal-to-noise ratio at 1.25dB from capacity limit on a 4 × 4 MEMO channel with 16-QAM modulation and a 4-state rate 1/2 parallel turbo code.

Original languageEnglish
Pages1583-1587
Number of pages5
Publication statusPublished - 1 Dec 2003
Externally publishedYes
EventIEEE Global Telecommunications Conference GLOBECOM'03 - San Francisco, CA, United States
Duration: 1 Dec 20035 Dec 2003

Other

OtherIEEE Global Telecommunications Conference GLOBECOM'03
CountryUnited States
CitySan Francisco, CA
Period1/12/035/12/03

Fingerprint

Antennas
Turbo codes
Channel capacity
Signal detection
Quadrature amplitude modulation
Maximum likelihood
antenna
Signal to noise ratio
Modulation
Detectors
signal-to-noise ratio
detection
detector
code
rate

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Global and Planetary Change

Cite this

Boutros, J., Gresset, N., Brunel, L., & Fossorier, M. (2003). Soft-input soft-output lattice sphere decoder for linear channels. 1583-1587. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.

Soft-input soft-output lattice sphere decoder for linear channels. / Boutros, Joseph; Gresset, Nicolas; Brunel, Loïc; Fossorier, Marc.

2003. 1583-1587 Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.

Research output: Contribution to conferencePaper

Boutros, J, Gresset, N, Brunel, L & Fossorier, M 2003, 'Soft-input soft-output lattice sphere decoder for linear channels' Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States, 1/12/03 - 5/12/03, pp. 1583-1587.
Boutros J, Gresset N, Brunel L, Fossorier M. Soft-input soft-output lattice sphere decoder for linear channels. 2003. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.
Boutros, Joseph ; Gresset, Nicolas ; Brunel, Loïc ; Fossorier, Marc. / Soft-input soft-output lattice sphere decoder for linear channels. Paper presented at IEEE Global Telecommunications Conference GLOBECOM'03, San Francisco, CA, United States.5 p.
@conference{4a5efbe95f8a45ddb2f6b299645226c5,
title = "Soft-input soft-output lattice sphere decoder for linear channels",
abstract = "Soft output detection for signals transmitted on linear channels is investigated. A particular emphasis is made for signal detection on multiple antenna channels. The a posteriori information at the detector output is evaluated from a shifted spherical list of point candidates. The spherical list is centered on the maximum likelihood point, which has the great advantage of stabilizing the list size. Thus, the sphere radius is selected in order to control the list size and to cope with the boundaries of the finite multiple antenna constellation. Our new soft output sphere decoder is then applied to the computation of constrained channel capacity and to the iterative detection of a coded transmission. For example, we achieved a signal-to-noise ratio at 1.25dB from capacity limit on a 4 × 4 MEMO channel with 16-QAM modulation and a 4-state rate 1/2 parallel turbo code.",
author = "Joseph Boutros and Nicolas Gresset and Lo{\"i}c Brunel and Marc Fossorier",
year = "2003",
month = "12",
day = "1",
language = "English",
pages = "1583--1587",
note = "IEEE Global Telecommunications Conference GLOBECOM'03 ; Conference date: 01-12-2003 Through 05-12-2003",

}

TY - CONF

T1 - Soft-input soft-output lattice sphere decoder for linear channels

AU - Boutros, Joseph

AU - Gresset, Nicolas

AU - Brunel, Loïc

AU - Fossorier, Marc

PY - 2003/12/1

Y1 - 2003/12/1

N2 - Soft output detection for signals transmitted on linear channels is investigated. A particular emphasis is made for signal detection on multiple antenna channels. The a posteriori information at the detector output is evaluated from a shifted spherical list of point candidates. The spherical list is centered on the maximum likelihood point, which has the great advantage of stabilizing the list size. Thus, the sphere radius is selected in order to control the list size and to cope with the boundaries of the finite multiple antenna constellation. Our new soft output sphere decoder is then applied to the computation of constrained channel capacity and to the iterative detection of a coded transmission. For example, we achieved a signal-to-noise ratio at 1.25dB from capacity limit on a 4 × 4 MEMO channel with 16-QAM modulation and a 4-state rate 1/2 parallel turbo code.

AB - Soft output detection for signals transmitted on linear channels is investigated. A particular emphasis is made for signal detection on multiple antenna channels. The a posteriori information at the detector output is evaluated from a shifted spherical list of point candidates. The spherical list is centered on the maximum likelihood point, which has the great advantage of stabilizing the list size. Thus, the sphere radius is selected in order to control the list size and to cope with the boundaries of the finite multiple antenna constellation. Our new soft output sphere decoder is then applied to the computation of constrained channel capacity and to the iterative detection of a coded transmission. For example, we achieved a signal-to-noise ratio at 1.25dB from capacity limit on a 4 × 4 MEMO channel with 16-QAM modulation and a 4-state rate 1/2 parallel turbo code.

UR - http://www.scopus.com/inward/record.url?scp=0842267613&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0842267613&partnerID=8YFLogxK

M3 - Paper

SP - 1583

EP - 1587

ER -