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
감소된 상태 전이 Viterbi 알고리즘(적응형 3-상태 RSTVDD라고 함)으로 구현된 적응형 최대 우도 차등 검출은 다음의 적응형 수신을 위해 제공됩니다. M- AWGN(가산성 백색 가우스 잡음) 및 주파수 비선택적 레일리 페이딩 채널을 통해 전송되는 DPSK(차동 위상 편이 키잉) 신호. 적응형 3상태 RSTVDD는 1DD, 차동 인코더, 역변조기, 적응형 위상 참조 추정 기능을 갖춘 감소 상태(3상태) Viterbi DD(RSVDD)로 구성됩니다. 적응형 3상태 RSVDD 검출기는 1DD 출력의 위상 오류 시퀀스를 추정합니다. 위상 기준 추정기는 변화하는 채널 조건에 적응하는 단계 크기를 갖는 적응형 LMS(최소 평균 제곱) 필터입니다. 최종 감지된 심볼 시퀀스는 2DD 출력 위상 시퀀스와 감지된 위상 오류 시퀀스의 모듈로-1π 합입니다. BER(비트 오류율) 성능 M-ary DPSK, MAWGN 및 Rayleigh 페이딩 채널에서 =4, 8 및 16은 적응형 3-상태 RSTVDD가 이전에 개발된 적응형 RSTVDD와 거의 동일한 BER 성능을 달성할 수 있음을 보여주기 위해 컴퓨터 시뮬레이션으로 평가됩니다. M-상태 RSVDD. 격자 상태의 수는 관계없이 3개로 줄어들기 때문에 M적응형 3-상태 RSTVDD는 계산 복잡성이 낮으며 특히 다음과 같은 경우에 유용합니다. M-ary DPSK M
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Fumiyuki ADACHI, "Adaptive Reduced State-Transition Viterbi Differential Detection of M-Ary DPSK Signals Transmitted over Gaussian and Frequency Nonselective Rayleigh Faded Channels" in IEICE TRANSACTIONS on Communications,
vol. E82-B, no. 1, pp. 156-164, January 1999, doi: .
Abstract: Adaptive maximum likelihood differential detection implemented by a reduced state-transition Viterbi algorithm (called adaptive 3-state RSTVDD) is presented for adaptive reception of M-ary differential phase shift keying (DPSK) signals transmitted over additive white Gaussian noise (AWGN) and frequency-nonselective Rayleigh fading channels. The adaptive 3-state RSTVDD comprises 1DD, a differential encoder, and reverse modulator, followed by reduced-state (3-state) Viterbi DD (RSVDD) with adaptive phase reference estimation. The adaptive 3-state RSVDD detector estimates the sequence of phase errors of the 1DD output. The phase reference estimator is an adaptive least mean square (LMS) filter with a step-size that adapts to changing channel conditions. The final detected symbol sequence is the modulo-2π sum of the 1DD output phase sequence and the detected phase error sequence. The bit error rate (BER) performance of M-ary DPSK, M=4, 8, and 16, in the AWGN and Rayleigh fading channels is evaluated by computer simulation to show that adaptive 3-state RSTVDD can achieve almost the same BER performance as the previously developed adaptive M-state RSVDD. Since the number of trellis states is reduced to three irrespective of M, the adaptive 3-state RSTVDD has lower computation complexity and it is particularly useful for M-ary DPSK with M
URL: https://global.ieice.org/en_transactions/communications/10.1587/e82-b_1_156/_p
부
@ARTICLE{e82-b_1_156,
author={Fumiyuki ADACHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Reduced State-Transition Viterbi Differential Detection of M-Ary DPSK Signals Transmitted over Gaussian and Frequency Nonselective Rayleigh Faded Channels},
year={1999},
volume={E82-B},
number={1},
pages={156-164},
abstract={Adaptive maximum likelihood differential detection implemented by a reduced state-transition Viterbi algorithm (called adaptive 3-state RSTVDD) is presented for adaptive reception of M-ary differential phase shift keying (DPSK) signals transmitted over additive white Gaussian noise (AWGN) and frequency-nonselective Rayleigh fading channels. The adaptive 3-state RSTVDD comprises 1DD, a differential encoder, and reverse modulator, followed by reduced-state (3-state) Viterbi DD (RSVDD) with adaptive phase reference estimation. The adaptive 3-state RSVDD detector estimates the sequence of phase errors of the 1DD output. The phase reference estimator is an adaptive least mean square (LMS) filter with a step-size that adapts to changing channel conditions. The final detected symbol sequence is the modulo-2π sum of the 1DD output phase sequence and the detected phase error sequence. The bit error rate (BER) performance of M-ary DPSK, M=4, 8, and 16, in the AWGN and Rayleigh fading channels is evaluated by computer simulation to show that adaptive 3-state RSTVDD can achieve almost the same BER performance as the previously developed adaptive M-state RSVDD. Since the number of trellis states is reduced to three irrespective of M, the adaptive 3-state RSTVDD has lower computation complexity and it is particularly useful for M-ary DPSK with M
keywords={},
doi={},
ISSN={},
month={January},}
부
TY - JOUR
TI - Adaptive Reduced State-Transition Viterbi Differential Detection of M-Ary DPSK Signals Transmitted over Gaussian and Frequency Nonselective Rayleigh Faded Channels
T2 - IEICE TRANSACTIONS on Communications
SP - 156
EP - 164
AU - Fumiyuki ADACHI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E82-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 1999
AB - Adaptive maximum likelihood differential detection implemented by a reduced state-transition Viterbi algorithm (called adaptive 3-state RSTVDD) is presented for adaptive reception of M-ary differential phase shift keying (DPSK) signals transmitted over additive white Gaussian noise (AWGN) and frequency-nonselective Rayleigh fading channels. The adaptive 3-state RSTVDD comprises 1DD, a differential encoder, and reverse modulator, followed by reduced-state (3-state) Viterbi DD (RSVDD) with adaptive phase reference estimation. The adaptive 3-state RSVDD detector estimates the sequence of phase errors of the 1DD output. The phase reference estimator is an adaptive least mean square (LMS) filter with a step-size that adapts to changing channel conditions. The final detected symbol sequence is the modulo-2π sum of the 1DD output phase sequence and the detected phase error sequence. The bit error rate (BER) performance of M-ary DPSK, M=4, 8, and 16, in the AWGN and Rayleigh fading channels is evaluated by computer simulation to show that adaptive 3-state RSTVDD can achieve almost the same BER performance as the previously developed adaptive M-state RSVDD. Since the number of trellis states is reduced to three irrespective of M, the adaptive 3-state RSTVDD has lower computation complexity and it is particularly useful for M-ary DPSK with M
ER -