TY - JOUR
T1 - Fractionally-spaced equalization and decision feedback sequence detection for diffusive MC
AU - Cao, Trang Ngoc
AU - Jamali, Vahid
AU - Zlatanov, Nikola
AU - Yeoh, Phee Lep
AU - Evans, Jamie
AU - Schober, Robert
N1 - Funding Information:
Manuscript received August 7, 2020; accepted August 27, 2020. Date of publication September 7, 2020; date of current version January 8, 2021. This work was supported partially by the Australian Research Council Discovery Projects under Grants DP180101205 and DP190100770 and the German Ministry for Education and Research under the MAMOKO project. The associate editor coordinating the review of this letter and approving it for publication was M. Egan. (Corresponding author: Trang Ngoc Cao.) Trang Ngoc Cao and Jamie Evans are with the Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1997-2012 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - In this letter, we consider diffusive molecular communication (MC) systems affected by signal-dependent diffusive noise, inter-symbol interference, and external noise. We design linear and nonlinear fractionally-spaced equalization schemes and a detection scheme which combines decision feedback and sequence detection (DFSD). In contrast to the symbol-rate equalization schemes in the MC literature, the proposed equalization and detection schemes exploit multiple samples of the received signal per symbol interval to achieve lower bit error rates (BERs) than existing schemes. The proposed DFSD scheme achieves a BER which is very close to that achieved by maximum likelihood sequence detection, but with lower computational complexity.
AB - In this letter, we consider diffusive molecular communication (MC) systems affected by signal-dependent diffusive noise, inter-symbol interference, and external noise. We design linear and nonlinear fractionally-spaced equalization schemes and a detection scheme which combines decision feedback and sequence detection (DFSD). In contrast to the symbol-rate equalization schemes in the MC literature, the proposed equalization and detection schemes exploit multiple samples of the received signal per symbol interval to achieve lower bit error rates (BERs) than existing schemes. The proposed DFSD scheme achieves a BER which is very close to that achieved by maximum likelihood sequence detection, but with lower computational complexity.
KW - equalization
KW - sequence detection
KW - Signal-dependent noise
UR - http://www.scopus.com/inward/record.url?scp=85099346295&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2020.3022391
DO - 10.1109/LCOMM.2020.3022391
M3 - Article
AN - SCOPUS:85099346295
SN - 1089-7798
VL - 25
SP - 117
EP - 121
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 1
M1 - 9187645
ER -