Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels

Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels

In this paper, we study the performance of convolutional coding using an error-and-erasure correction Viterbi decoder for n/4-shift QDPSK mobile radio transmission. The receiver uses received signal envelope as channel state information to erase unreliable symbols instead of making explicit decision...

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Main Authors: ZHOU, Huafei, DENG, Robert H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1993
Subjects:
frequency-selective fading
convolutional coding
error-and-erasure correction
Viterbi decoding
Information Security
Online Access:https://ink.library.smu.edu.sg/sis_research/167
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Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-1166
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spelling sg-smu-ink.sis_research-11662016-05-07T00:56:14Z Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels ZHOU, Huafei DENG, Robert H. In this paper, we study the performance of convolutional coding using an error-and-erasure correction Viterbi decoder for n/4-shift QDPSK mobile radio transmission. The receiver uses received signal envelope as channel state information to erase unreliable symbols instead of making explicit decision before decoding. The performance study is carried out over frequency-selective fading channel with additive white Gaussian noise, co-channel interference and propagation delay spread. The results show that decoding with symbol erasure can significantly improve the system transmission performance compared to decoding without symbol erasure. 1993-02-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/167 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University frequency-selective fading convolutional coding error-and-erasure correction Viterbi decoding Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic frequency-selective fading
convolutional coding
error-and-erasure correction
Viterbi decoding
Information Security
spellingShingle frequency-selective fading
convolutional coding
error-and-erasure correction
Viterbi decoding
Information Security
ZHOU, Huafei
DENG, Robert H.
Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels
description In this paper, we study the performance of convolutional coding using an error-and-erasure correction Viterbi decoder for n/4-shift QDPSK mobile radio transmission. The receiver uses received signal envelope as channel state information to erase unreliable symbols instead of making explicit decision before decoding. The performance study is carried out over frequency-selective fading channel with additive white Gaussian noise, co-channel interference and propagation delay spread. The results show that decoding with symbol erasure can significantly improve the system transmission performance compared to decoding without symbol erasure.
format text
author ZHOU, Huafei
DENG, Robert H.
author_facet ZHOU, Huafei
DENG, Robert H.
author_sort ZHOU, Huafei
title Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels
title_short Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels
title_full Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels
title_fullStr Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels
title_full_unstemmed Performance of Convolutional Coding with Symbol Erasure for QPSK Frequency-Selective Fading Channels
title_sort performance of convolutional coding with symbol erasure for qpsk frequency-selective fading channels
publisher Institutional Knowledge at Singapore Management University
publishDate 1993
url https://ink.library.smu.edu.sg/sis_research/167
_version_ 1770568908788465664

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