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We propose a phase lock detector for 16-QAM systems for high-speed wireless communications. The detector gathers the phase estimates statistically according to the predetermined symbols, filters them through an average filter, and indicates the phase lock state by comparing the filtered resultants to a threshold value. The statistical property of the proposed detector is analyzed using the stochastic process theory. First, we obtain the characteristic function of a random variable describing the filter output. Second, through inverse Laplace transform, we get the probability density function of the random variable. Third, we can obtain the phase lock detection probability using the probability density function. Finally, to investigate its accuracy, we obtain the probability density function of a random variable for the detector output, and compare it to the simulation result.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E85-B No.3 pp.658-662

- Publication Date
- 2002/03/01

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- LETTER

- Category
- Wireless Communication Technology

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Myung Sup KIM, Jin Suk SEONG, Doeck Gil OH, "A Phase Lock Detector for 16-QAM Systems for High-Speed Wireless Communications" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 3, pp. 658-662, March 2002, doi: .

Abstract: We propose a phase lock detector for 16-QAM systems for high-speed wireless communications. The detector gathers the phase estimates statistically according to the predetermined symbols, filters them through an average filter, and indicates the phase lock state by comparing the filtered resultants to a threshold value. The statistical property of the proposed detector is analyzed using the stochastic process theory. First, we obtain the characteristic function of a random variable describing the filter output. Second, through inverse Laplace transform, we get the probability density function of the random variable. Third, we can obtain the phase lock detection probability using the probability density function. Finally, to investigate its accuracy, we obtain the probability density function of a random variable for the detector output, and compare it to the simulation result.

URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_3_658/_p

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@ARTICLE{e85-b_3_658,

author={Myung Sup KIM, Jin Suk SEONG, Doeck Gil OH, },

journal={IEICE TRANSACTIONS on Communications},

title={A Phase Lock Detector for 16-QAM Systems for High-Speed Wireless Communications},

year={2002},

volume={E85-B},

number={3},

pages={658-662},

abstract={We propose a phase lock detector for 16-QAM systems for high-speed wireless communications. The detector gathers the phase estimates statistically according to the predetermined symbols, filters them through an average filter, and indicates the phase lock state by comparing the filtered resultants to a threshold value. The statistical property of the proposed detector is analyzed using the stochastic process theory. First, we obtain the characteristic function of a random variable describing the filter output. Second, through inverse Laplace transform, we get the probability density function of the random variable. Third, we can obtain the phase lock detection probability using the probability density function. Finally, to investigate its accuracy, we obtain the probability density function of a random variable for the detector output, and compare it to the simulation result.},

keywords={},

doi={},

ISSN={},

month={March},}

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TY - JOUR

TI - A Phase Lock Detector for 16-QAM Systems for High-Speed Wireless Communications

T2 - IEICE TRANSACTIONS on Communications

SP - 658

EP - 662

AU - Myung Sup KIM

AU - Jin Suk SEONG

AU - Doeck Gil OH

PY - 2002

DO -

JO - IEICE TRANSACTIONS on Communications

SN -

VL - E85-B

IS - 3

JA - IEICE TRANSACTIONS on Communications

Y1 - March 2002

AB - We propose a phase lock detector for 16-QAM systems for high-speed wireless communications. The detector gathers the phase estimates statistically according to the predetermined symbols, filters them through an average filter, and indicates the phase lock state by comparing the filtered resultants to a threshold value. The statistical property of the proposed detector is analyzed using the stochastic process theory. First, we obtain the characteristic function of a random variable describing the filter output. Second, through inverse Laplace transform, we get the probability density function of the random variable. Third, we can obtain the phase lock detection probability using the probability density function. Finally, to investigate its accuracy, we obtain the probability density function of a random variable for the detector output, and compare it to the simulation result.

ER -