The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
고속 무선 통신을 위한 16-QAM 시스템용 위상 고정 검출기를 제안합니다. 검출기는 미리 정해진 심볼에 따라 통계적으로 위상 추정치를 수집하고 평균 필터를 통해 필터링한 후 필터링된 결과를 임계값과 비교하여 위상 고정 상태를 나타냅니다. 제안된 검출기의 통계적 특성은 확률론적 과정 이론을 이용하여 분석된다. 먼저, 필터 출력을 설명하는 랜덤 변수의 특성 함수를 얻습니다. 둘째, 역라플라스 변환을 통해 확률변수의 확률밀도함수를 구한다. 셋째, 확률밀도함수를 이용하여 위상동기 검출 확률을 구할 수 있다. 마지막으로 정확성을 조사하기 위해 검출기 출력에 대한 확률 변수의 확률 밀도 함수를 구하고 이를 시뮬레이션 결과와 비교합니다.
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부
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
부
@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},}
부
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 -