RS-A-SISO algorithms for serially concatenated CPM over fading channels and density evolution analysis

Kyuhyuk Chung; Jun Heo

doi:10.1049/el:20031004

RS-A-SISO algorithms for serially concatenated CPM over fading channels and density evolution analysis

Kyuhyuk Chung, Jun Heo

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

The discovery of turbo codes in 1993 is one of the exciting recent developments in coding theory. The complexity of SISOs and adaptive SISOs (A-SISOs) increases exponentially with constraint length. It is shown that serially concatenated CPM with adaptive iterative detection has turbo-like performance over fading ISI channels and also reduced state A-SISO (RS-A-SISO) systems have large iteration gains. Recently developed density evolution technique is used to obtain thresholds of RS-A-SISO algorithms, which determine the asymptotic capacity.

Original language	English
Pages (from-to)	1597-1598
Number of pages	2
Journal	Electronics Letters
Volume	39
Issue number	22
DOIs	https://doi.org/10.1049/el:20031004
Publication status	Published - 2003 Nov 22
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/el:20031004

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abstract = "The discovery of turbo codes in 1993 is one of the exciting recent developments in coding theory. The complexity of SISOs and adaptive SISOs (A-SISOs) increases exponentially with constraint length. It is shown that serially concatenated CPM with adaptive iterative detection has turbo-like performance over fading ISI channels and also reduced state A-SISO (RS-A-SISO) systems have large iteration gains. Recently developed density evolution technique is used to obtain thresholds of RS-A-SISO algorithms, which determine the asymptotic capacity.",

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AU - Heo, Jun

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AB - The discovery of turbo codes in 1993 is one of the exciting recent developments in coding theory. The complexity of SISOs and adaptive SISOs (A-SISOs) increases exponentially with constraint length. It is shown that serially concatenated CPM with adaptive iterative detection has turbo-like performance over fading ISI channels and also reduced state A-SISO (RS-A-SISO) systems have large iteration gains. Recently developed density evolution technique is used to obtain thresholds of RS-A-SISO algorithms, which determine the asymptotic capacity.

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RS-A-SISO algorithms for serially concatenated CPM over fading channels and density evolution analysis

Abstract

ASJC Scopus subject areas

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