Hard-Decision Fusion With Arbitrary Numbers of Bits for Different Samples

Yunfei Chen; Kezhi Wang; Jiming Chen

doi:10.1109/TVT.2012.2224894

Hard-Decision Fusion With Arbitrary Numbers of Bits for Different Samples

Yunfei Chen, Kezhi Wang, Jiming Chen

Computer Information Sciences Department

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

5 Citations (Scopus)

Abstract

A new hard-decision fusion rule that combines arbitrary numbers of bits for different samples taken at different sensors is proposed. The best thresholds for the fusion rules using 2, 3, and 4 bits are obtained. The bit error rate for a hard-decision fusion rule with 1 bit is also derived. Numerical results show that the new scheme can achieve better performance with higher energy efficiency.

Original language	English
Pages (from-to)	879-884
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Volume	62
Issue number	2
Early online date	15 Oct 2012
DOIs	https://doi.org/10.1109/TVT.2012.2224894
Publication status	Published - Feb 2013

Keywords

Decision fusion
sample quantization
threshold

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/TVT.2012.2224894

Cite this

@article{b3502e2d16664aeab0b038b01b8e28e8,

title = "Hard-Decision Fusion With Arbitrary Numbers of Bits for Different Samples",

abstract = "A new hard-decision fusion rule that combines arbitrary numbers of bits for different samples taken at different sensors is proposed. The best thresholds for the fusion rules using 2, 3, and 4 bits are obtained. The bit error rate for a hard-decision fusion rule with 1 bit is also derived. Numerical results show that the new scheme can achieve better performance with higher energy efficiency.",

keywords = "Decision fusion, sample quantization, threshold",

author = "Yunfei Chen and Kezhi Wang and Jiming Chen",

year = "2013",

month = feb,

doi = "10.1109/TVT.2012.2224894",

language = "English",

volume = "62",

pages = "879--884",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "IEEE",

number = "2",

}

TY - JOUR

T1 - Hard-Decision Fusion With Arbitrary Numbers of Bits for Different Samples

AU - Chen, Yunfei

AU - Wang, Kezhi

AU - Chen, Jiming

PY - 2013/2

Y1 - 2013/2

N2 - A new hard-decision fusion rule that combines arbitrary numbers of bits for different samples taken at different sensors is proposed. The best thresholds for the fusion rules using 2, 3, and 4 bits are obtained. The bit error rate for a hard-decision fusion rule with 1 bit is also derived. Numerical results show that the new scheme can achieve better performance with higher energy efficiency.

AB - A new hard-decision fusion rule that combines arbitrary numbers of bits for different samples taken at different sensors is proposed. The best thresholds for the fusion rules using 2, 3, and 4 bits are obtained. The bit error rate for a hard-decision fusion rule with 1 bit is also derived. Numerical results show that the new scheme can achieve better performance with higher energy efficiency.

KW - Decision fusion

KW - sample quantization

KW - threshold

U2 - 10.1109/TVT.2012.2224894

DO - 10.1109/TVT.2012.2224894

M3 - Article

SN - 0018-9545

VL - 62

SP - 879

EP - 884

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 2

ER -

Hard-Decision Fusion With Arbitrary Numbers of Bits for Different Samples

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this