A Simulation Probability Density Function Design for TCM Scheme in Impulsive Noise Environment
Summary :
We present a design method of the simulation probability density function for a trellis-coded modulation (TCM) in an impulsive noise environment. The upper bound evaluation method for the TCM scheme cannot be applied to the lognormally distributed impulsive noise, since the Chernoff bound cannot be defined. Thus the error probability can only be estimated by a computer simulation. For an evaluation of a low error probability, importance sampling (IS) is an efficient technique. A design method of the simulation probability density function, which plays an important role in IS, is proposed for the noise. The effectivity is shown by a numerical example.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.10 pp.1975-1978
- Publication Date
- 2000/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Section on Information Theory and Its Applications)
- Category
- Coding Theory
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Takakazu SAKAI, Koji SHIBATA, "A Simulation Probability Density Function Design for TCM Scheme in Impulsive Noise Environment" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 10, pp. 1975-1978, October 2000, doi: .
Abstract: We present a design method of the simulation probability density function for a trellis-coded modulation (TCM) in an impulsive noise environment. The upper bound evaluation method for the TCM scheme cannot be applied to the lognormally distributed impulsive noise, since the Chernoff bound cannot be defined. Thus the error probability can only be estimated by a computer simulation. For an evaluation of a low error probability, importance sampling (IS) is an efficient technique. A design method of the simulation probability density function, which plays an important role in IS, is proposed for the noise. The effectivity is shown by a numerical example.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_10_1975/_p
Copy
@ARTICLE{e83-a_10_1975,
author={Takakazu SAKAI, Koji SHIBATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Simulation Probability Density Function Design for TCM Scheme in Impulsive Noise Environment},
year={2000},
volume={E83-A},
number={10},
pages={1975-1978},
abstract={We present a design method of the simulation probability density function for a trellis-coded modulation (TCM) in an impulsive noise environment. The upper bound evaluation method for the TCM scheme cannot be applied to the lognormally distributed impulsive noise, since the Chernoff bound cannot be defined. Thus the error probability can only be estimated by a computer simulation. For an evaluation of a low error probability, importance sampling (IS) is an efficient technique. A design method of the simulation probability density function, which plays an important role in IS, is proposed for the noise. The effectivity is shown by a numerical example.},
keywords={},
doi={},
ISSN={},
month={October},}
Copy
TY - JOUR
TI - A Simulation Probability Density Function Design for TCM Scheme in Impulsive Noise Environment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1975
EP - 1978
AU - Takakazu SAKAI
AU - Koji SHIBATA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2000
AB - We present a design method of the simulation probability density function for a trellis-coded modulation (TCM) in an impulsive noise environment. The upper bound evaluation method for the TCM scheme cannot be applied to the lognormally distributed impulsive noise, since the Chernoff bound cannot be defined. Thus the error probability can only be estimated by a computer simulation. For an evaluation of a low error probability, importance sampling (IS) is an efficient technique. A design method of the simulation probability density function, which plays an important role in IS, is proposed for the noise. The effectivity is shown by a numerical example.
ER -
English
