Optimal stochastic signal design and detector randomization in the neyman-pearson framework

Berkan Dulek; Sinan Gezici

doi:10.1109/ICASSP.2012.6288552

Optimal stochastic signal design and detector randomization in the neyman-pearson framework

Berkan Dulek
, Sinan Gezici

Bilkent University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector randomization factors is performed. It is shown that the solution to the most generic optimization problem that employs both stochastic signaling and detector randomization can be obtained as the randomization among no more than three Neyman-Pearson (NP) decision rules corresponding to three deterministic signal vectors. Numerical examples are also presented.

Original language	English
Title of host publication	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages	3025-3028
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2012.6288552
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: 25 Mar 2012 → 30 Mar 2012

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country/Territory	Japan
City	Kyoto
Period	25/03/12 → 30/03/12

Keywords

Detection
Neyman-Pearson
detector randomization
on-off keying
stochastic signaling

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10.1109/ICASSP.2012.6288552

Cite this

Dulek, B., & Gezici, S. (2012). Optimal stochastic signal design and detector randomization in the neyman-pearson framework. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (pp. 3025-3028). Article 6288552 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6288552

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title = "Optimal stochastic signal design and detector randomization in the neyman-pearson framework",

abstract = "Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector randomization factors is performed. It is shown that the solution to the most generic optimization problem that employs both stochastic signaling and detector randomization can be obtained as the randomization among no more than three Neyman-Pearson (NP) decision rules corresponding to three deterministic signal vectors. Numerical examples are also presented.",

keywords = "Detection, Neyman-Pearson, detector randomization, on-off keying, stochastic signaling",

author = "Berkan Dulek and Sinan Gezici",

year = "2012",

doi = "10.1109/ICASSP.2012.6288552",

language = "English",

isbn = "9781467300469",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "3025--3028",

booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",

note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",

}

Dulek, B & Gezici, S 2012, Optimal stochastic signal design and detector randomization in the neyman-pearson framework. in 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings., 6288552, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3025-3028, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, Japan, 25/03/12. https://doi.org/10.1109/ICASSP.2012.6288552

Optimal stochastic signal design and detector randomization in the neyman-pearson framework. / Dulek, Berkan; Gezici, Sinan.
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. 2012. p. 3025-3028 6288552 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal stochastic signal design and detector randomization in the neyman-pearson framework

AU - Dulek, Berkan

AU - Gezici, Sinan

PY - 2012

Y1 - 2012

N2 - Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector randomization factors is performed. It is shown that the solution to the most generic optimization problem that employs both stochastic signaling and detector randomization can be obtained as the randomization among no more than three Neyman-Pearson (NP) decision rules corresponding to three deterministic signal vectors. Numerical examples are also presented.

AB - Power constrained on-off keying communications systems are investigated in the presence of stochastic signaling and detector randomization. The joint optimal design of decision rules, stochastic signals, and detector randomization factors is performed. It is shown that the solution to the most generic optimization problem that employs both stochastic signaling and detector randomization can be obtained as the randomization among no more than three Neyman-Pearson (NP) decision rules corresponding to three deterministic signal vectors. Numerical examples are also presented.

KW - Detection

KW - Neyman-Pearson

KW - detector randomization

KW - on-off keying

KW - stochastic signaling

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DO - 10.1109/ICASSP.2012.6288552

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 3025

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BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings

T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012

Y2 - 25 March 2012 through 30 March 2012

ER -

Dulek B, Gezici S. Optimal stochastic signal design and detector randomization in the neyman-pearson framework. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. 2012. p. 3025-3028. 6288552. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2012.6288552

Optimal stochastic signal design and detector randomization in the neyman-pearson framework

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