A Compostite Signal Detection Scheme in Additive and Signal-Dependent Noise
Summary :
When orignal signals are contaminated by both additive and signal-dependent noise components, the test statistics of locally optimum detector are obtained for detection of weak composite signals based on the generalized Neyman-Pearson lemma. In order to consider the non-additive noise as well as purely-additive noise, a generalized observation model is used in this paper. The locally optimum detector test statisics are derived for all different cases according to the relative strengths of the known signal, random signal, and signal-dependent noise components. Schematic diagrams of the structures of the locally optimum detector are also included. The finite sample-size performance characteristics of the locally optimum detector are compared with those of other common detectors.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E76-A No.10 pp.1790-1803
- Publication Date
- 1993/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Information Theory and Coding Theory
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Sangyoub KIM, Iickho SONG, Sun Yong KIM, "A Compostite Signal Detection Scheme in Additive and Signal-Dependent Noise" in IEICE TRANSACTIONS on Fundamentals,
vol. E76-A, no. 10, pp. 1790-1803, October 1993, doi: .
Abstract: When orignal signals are contaminated by both additive and signal-dependent noise components, the test statistics of locally optimum detector are obtained for detection of weak composite signals based on the generalized Neyman-Pearson lemma. In order to consider the non-additive noise as well as purely-additive noise, a generalized observation model is used in this paper. The locally optimum detector test statisics are derived for all different cases according to the relative strengths of the known signal, random signal, and signal-dependent noise components. Schematic diagrams of the structures of the locally optimum detector are also included. The finite sample-size performance characteristics of the locally optimum detector are compared with those of other common detectors.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e76-a_10_1790/_p
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@ARTICLE{e76-a_10_1790,
author={Sangyoub KIM, Iickho SONG, Sun Yong KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Compostite Signal Detection Scheme in Additive and Signal-Dependent Noise},
year={1993},
volume={E76-A},
number={10},
pages={1790-1803},
abstract={When orignal signals are contaminated by both additive and signal-dependent noise components, the test statistics of locally optimum detector are obtained for detection of weak composite signals based on the generalized Neyman-Pearson lemma. In order to consider the non-additive noise as well as purely-additive noise, a generalized observation model is used in this paper. The locally optimum detector test statisics are derived for all different cases according to the relative strengths of the known signal, random signal, and signal-dependent noise components. Schematic diagrams of the structures of the locally optimum detector are also included. The finite sample-size performance characteristics of the locally optimum detector are compared with those of other common detectors.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - A Compostite Signal Detection Scheme in Additive and Signal-Dependent Noise
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1790
EP - 1803
AU - Sangyoub KIM
AU - Iickho SONG
AU - Sun Yong KIM
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E76-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1993
AB - When orignal signals are contaminated by both additive and signal-dependent noise components, the test statistics of locally optimum detector are obtained for detection of weak composite signals based on the generalized Neyman-Pearson lemma. In order to consider the non-additive noise as well as purely-additive noise, a generalized observation model is used in this paper. The locally optimum detector test statisics are derived for all different cases according to the relative strengths of the known signal, random signal, and signal-dependent noise components. Schematic diagrams of the structures of the locally optimum detector are also included. The finite sample-size performance characteristics of the locally optimum detector are compared with those of other common detectors.
ER -
English
