An adaptive equalizer based on greatest constraint satisfaction criterion for coded communication systems

Author

Junho Cho ; Hyoseop Lee

Author_Institution

Bell Labs., Alcatel-Lucent, Seoul, South Korea

fYear

2013

fDate

9-13 June 2013

Firstpage

4576

Lastpage

4580

Abstract

We propose an adaptive equalizer for coded communication systems, which adjusts filter taps using the gradient descent algorithm under the greatest constraint satisfaction (GCS) criterion. In particular, we derive the GCS equalizer for a low-density parity-check (LDPC)-coded multiple-input multiple-output (MIMO) system. We demonstrate by simulations that the GCS equalizer significantly outperforms the minimum mean square error (MMSE) equalizer under binary phase-shift keying (BPSK) modulation, and performs similar under quadrature phase-shift keying (QPSK) modulation.

Keywords

MIMO communication; adaptive equalisers; least mean squares methods; parity check codes; quadrature phase shift keying; BPSK modulation; GCS equalizer; LDPC-code; MIMO system; MMSE equalizer; QPSK modulation; adaptive equalizer; binary phase-shift keying modulation; coded communication systems; filter taps; gradient descent algorithm; greatest constraint satisfaction; low-density parity-check code; minimum mean square error equalizer; multiple-input multiple-output system; quadrature phase-shift keying modulation; Binary phase shift keying; Channel estimation; Equalizers; Interference; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2013 IEEE International Conference on

Conference_Location

Budapest

ISSN

1550-3607

Type

conf

DOI

10.1109/ICC.2013.6655291

Filename

6655291