Best performance of the UNB modulation VMSK in AWGN channel

Dong Kai Yang; Hua Sen Wu; Qi Shan Zhang

Best performance of the UNB modulation VMSK in AWGN channel

Dong Kai Yang^*
, Hua Sen Wu
, Qi Shan Zhang

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

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

4 Scopus citations

Abstract

VMSK (very minimum shift keying) was taken into account as UNB example. Its performance in AWGN (added white Gaussian noise) channel is analyzed based on the classifier model for signal processing. The detecting method with the lowest bit error rate is analyzed according to the Bayesian criterion using the basic probability method. Then the comparison with correlation detection, optimal performance is given. The analysis shows that the VMSK needs higher SNR (signal noise ratio) than BPSK to get the same BER performance. And the conclusion can be extended to other UNB modulation methods.

Original language	English
Pages (from-to)	128-132
Number of pages	5
Journal	Tongxin Xuebao/Journal on Communications
Volume	29
Issue number	5
State	Published - May 2008

Keywords

Bayesian criterion
Optimum receiver
Ultra narrow band
Very minimum shift keying
Wireless communication

Cite this

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title = "Best performance of the UNB modulation VMSK in AWGN channel",

abstract = "VMSK (very minimum shift keying) was taken into account as UNB example. Its performance in AWGN (added white Gaussian noise) channel is analyzed based on the classifier model for signal processing. The detecting method with the lowest bit error rate is analyzed according to the Bayesian criterion using the basic probability method. Then the comparison with correlation detection, optimal performance is given. The analysis shows that the VMSK needs higher SNR (signal noise ratio) than BPSK to get the same BER performance. And the conclusion can be extended to other UNB modulation methods.",

keywords = "Bayesian criterion, Optimum receiver, Ultra narrow band, Very minimum shift keying, Wireless communication",

author = "Yang, \{Dong Kai\} and Wu, \{Hua Sen\} and Zhang, \{Qi Shan\}",

year = "2008",

month = may,

language = "英语",

volume = "29",

pages = "128--132",

journal = "Tongxin Xuebao/Journal on Communications",

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T1 - Best performance of the UNB modulation VMSK in AWGN channel

AU - Yang, Dong Kai

AU - Wu, Hua Sen

AU - Zhang, Qi Shan

PY - 2008/5

Y1 - 2008/5

N2 - VMSK (very minimum shift keying) was taken into account as UNB example. Its performance in AWGN (added white Gaussian noise) channel is analyzed based on the classifier model for signal processing. The detecting method with the lowest bit error rate is analyzed according to the Bayesian criterion using the basic probability method. Then the comparison with correlation detection, optimal performance is given. The analysis shows that the VMSK needs higher SNR (signal noise ratio) than BPSK to get the same BER performance. And the conclusion can be extended to other UNB modulation methods.

AB - VMSK (very minimum shift keying) was taken into account as UNB example. Its performance in AWGN (added white Gaussian noise) channel is analyzed based on the classifier model for signal processing. The detecting method with the lowest bit error rate is analyzed according to the Bayesian criterion using the basic probability method. Then the comparison with correlation detection, optimal performance is given. The analysis shows that the VMSK needs higher SNR (signal noise ratio) than BPSK to get the same BER performance. And the conclusion can be extended to other UNB modulation methods.

KW - Bayesian criterion

KW - Optimum receiver

KW - Ultra narrow band

KW - Very minimum shift keying

KW - Wireless communication

UR - https://www.scopus.com/pages/publications/45449091152

M3 - 文章

AN - SCOPUS:45449091152

SN - 1000-436X

VL - 29

SP - 128

EP - 132

JO - Tongxin Xuebao/Journal on Communications

JF - Tongxin Xuebao/Journal on Communications

IS - 5

ER -

Best performance of the UNB modulation VMSK in AWGN channel

Abstract

Keywords

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