2007Unpublished venueRequires access

A Low-Complexity Scheduling for Turbo Equalization with Turbo Decoding

André Fonseca dos Santos, Wolfgang Rave, Gerhard Paul Fettweis

Open publisher page 3 citations

Abstract

A novel scheduling for turbo equalization with turbo decoding is proposed. The use of turbo codes associated to turbo equalizers has been frequently investigated in the literature. The conventional turbo equalizer with turbo decoding consists of a soft input soft output equalizer cooperating with a turbo decoder. In this way, the turbo decoder performs several iterations at each turbo equalizer iteration. The proposal here is a new scheduling procedure for the association of an equalizer and a turbo decoder. At each turbo equalizer iteration, only the decoding of a single component code of the turbo code is performed. The component decoders are connected through the turbo equalizer iterations, in such a way that when two turbo equalizer iterations are executed, a complete turbo decoding iteration is performed. The advantage of this system lies in the complexity reduction, since its complexity is given by the sum of the complexity of the equalizer with only a single component decoder.

About this research paper

What this paper is about

A novel scheduling for turbo equalization with turbo decoding is proposed. The use of turbo codes associated to turbo equalizers has been frequently investigated in the literature. The conventional turbo equalizer with turbo decoding consists of a soft input soft output equalizer cooperating with a turbo decoder. In this way, the turbo decoder performs several iterations at each turbo equalizer iteration. The proposal here is a new scheduling procedure for the association of an equalizer and a turbo decoder. At each turbo equalizer iteration, only the decoding of a single component code of the turbo code is performed. The component decoders are connected through the turbo equalizer iterations, in such a way that when two turbo equalizer iterations are executed, a complete turbo decoding iteration is performed. The advantage of this system lies in the complexity reduction, since its complexity is given by the sum of the complexity of the equalizer with only a single component decoder.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A novel scheduling for turbo equalization with turbo decoding is proposed. The use of turbo codes associated to turbo equalizers has been frequently investigated in the literature. The conventional turbo equalizer with turbo decoding consists of a soft input soft output equalizer cooperating with a turbo decoder. In this way, the turbo decoder performs several iterations at each turbo equalizer iteration. The proposal here is a new scheduling procedure for the association of an equalizer and a turbo decoder. At each turbo equalizer iteration, only the decoding of a single component code of the turbo code is performed. The component decoders are connected through the turbo equalizer iterations, in such a way that when two turbo equalizer iterations are executed, a complete turbo decoding iteration is performed. The advantage of this system lies in the complexity reduction, since its complexity is given by the sum of the complexity of the equalizer with only a single component decoder.

Key concepts: Turbo equalizer, Turbo code, Turbo, Computer science, Serial concatenated convolutional codes, Equalization (audio), Decoding methods, Soft-decision decoder

Related papers

Back to paper searchBrowse research topicsOriginal source
A Low-Complexity Scheduling for Turbo Equalization with Turbo Decoding — Research Paper | ScholarLens