Performance of DS/SSMA systems using TCM under impulsive noise environment

Kwang Soon Kim; Seong Ill Park; Iickho Song; Jinsoo Bae

doi:10.1016/S0165-1684(97)00228-4

Performance of DS/SSMA systems using TCM under impulsive noise environment

Kwang Soon Kim, Seong Ill Park, Iickho Song, Jinsoo Bae

Department of Electrical and Electronic Engineering

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

Abstract

In this paper, we investigate the effects of impulsive noise on the DS/SSMA systems using TCM. We obtain the probability of bit error bound of the systems, considering both impulsive noise and Rician fading unavoidable in mobile communication environments. It turns out that we can achieve some coding gain by using TCM under impulsive noise environment at moderate to high signal to noise ratio (SNR). It is observed that the bit error probability is dominated by the background noise variance when the SNR is low and by the tail noise variance when the SNR is high.

Original language	English
Pages (from-to)	225-230
Number of pages	6
Journal	Signal Processing
Volume	64
Issue number	2
DOIs	https://doi.org/10.1016/S0165-1684(97)00228-4
Publication status	Published - 1998 Jan 30

Bibliographical note

Funding Information:
This research was supported by the Ministry of Information and Communications under a Grant from the University Basic Research Fund, for which the authors would like to express their thanks.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/S0165-1684(97)00228-4

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abstract = "In this paper, we investigate the effects of impulsive noise on the DS/SSMA systems using TCM. We obtain the probability of bit error bound of the systems, considering both impulsive noise and Rician fading unavoidable in mobile communication environments. It turns out that we can achieve some coding gain by using TCM under impulsive noise environment at moderate to high signal to noise ratio (SNR). It is observed that the bit error probability is dominated by the background noise variance when the SNR is low and by the tail noise variance when the SNR is high.",

author = "Kim, {Kwang Soon} and Park, {Seong Ill} and Iickho Song and Jinsoo Bae",

note = "Funding Information: This research was supported by the Ministry of Information and Communications under a Grant from the University Basic Research Fund, for which the authors would like to express their thanks. ",

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AU - Kim, Kwang Soon

AU - Park, Seong Ill

AU - Song, Iickho

AU - Bae, Jinsoo

N1 - Funding Information: This research was supported by the Ministry of Information and Communications under a Grant from the University Basic Research Fund, for which the authors would like to express their thanks.

PY - 1998/1/30

Y1 - 1998/1/30

N2 - In this paper, we investigate the effects of impulsive noise on the DS/SSMA systems using TCM. We obtain the probability of bit error bound of the systems, considering both impulsive noise and Rician fading unavoidable in mobile communication environments. It turns out that we can achieve some coding gain by using TCM under impulsive noise environment at moderate to high signal to noise ratio (SNR). It is observed that the bit error probability is dominated by the background noise variance when the SNR is low and by the tail noise variance when the SNR is high.

AB - In this paper, we investigate the effects of impulsive noise on the DS/SSMA systems using TCM. We obtain the probability of bit error bound of the systems, considering both impulsive noise and Rician fading unavoidable in mobile communication environments. It turns out that we can achieve some coding gain by using TCM under impulsive noise environment at moderate to high signal to noise ratio (SNR). It is observed that the bit error probability is dominated by the background noise variance when the SNR is low and by the tail noise variance when the SNR is high.

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Performance of DS/SSMA systems using TCM under impulsive noise environment

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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