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
Pengesanan pembezaan kemungkinan maksimum penyesuaian yang dilaksanakan oleh algoritma Viterbi peralihan keadaan yang dikurangkan (dipanggil RSTVDD 3 keadaan penyesuaian) dibentangkan untuk penerimaan penyesuaian bagi M-isyarat penguncian anjakan fasa pembezaan (DPSK) dihantar melalui bunyi Gaussian putih tambahan (AWGN) dan saluran pudar Rayleigh bukan selektif frekuensi. RSTVDD 3 keadaan adaptif terdiri daripada 1DD, pengekod pembezaan, dan modulator terbalik, diikuti oleh keadaan terkurang (3 keadaan) Viterbi DD (RSVDD) dengan anggaran rujukan fasa penyesuaian. Pengesan RSVDD 3 keadaan adaptif menganggarkan jujukan ralat fasa keluaran 1DD. Penganggar rujukan fasa ialah penapis persegi min terkecil (LMS) adaptif dengan saiz langkah yang menyesuaikan diri dengan keadaan saluran yang berubah-ubah. Jujukan simbol terakhir yang dikesan ialah jumlah modulo-2π bagi jujukan fasa keluaran 1DD dan jujukan ralat fasa yang dikesan. Prestasi kadar ralat bit (BER) bagi M-ary DPSK, M=4, 8, dan 16, dalam saluran pudar AWGN dan Rayleigh dinilai oleh simulasi komputer untuk menunjukkan bahawa RSTVDD 3 keadaan adaptif boleh mencapai prestasi BER yang hampir sama seperti adaptif yang dibangunkan sebelum ini. M-nyatakan RSVDD. Oleh kerana bilangan keadaan trellis dikurangkan kepada tiga tanpa mengira M, RSTVDD 3 keadaan adaptif mempunyai kerumitan pengiraan yang lebih rendah dan ia amat berguna untuk M-ary DPSK dengan 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.
Salinan
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
Salinan
@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},}
Salinan
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 -