TY - GEN
T1 - Near-Optimal Detection of TAST Codes over Multimode Optical Fiber Channels
AU - Damen, Oussama
AU - Othman, Ghaya Rekaya Ben
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/22
Y1 - 2019/1/22
N2 - In this work we propose a new low-complexity, essentially optimal detection algorithm for n × n TAST codes over n-mode optical fiber channels with Mode-Dependent Loss (MDL). Our algorithm is derived from the analysis of the Orthogonality Defect Factor (ODF) of the equivalent channel matrix where we derive its closed-form expression for general n as well as characterize its statistical properties. Using the ODF properties allows us to modify the detection algorithm such that it still achieves essentially optimal performance but at a much smaller cost than exhaustive or sphere decoding algorithms. The theoretical results are validated by simulations.
AB - In this work we propose a new low-complexity, essentially optimal detection algorithm for n × n TAST codes over n-mode optical fiber channels with Mode-Dependent Loss (MDL). Our algorithm is derived from the analysis of the Orthogonality Defect Factor (ODF) of the equivalent channel matrix where we derive its closed-form expression for general n as well as characterize its statistical properties. Using the ODF properties allows us to modify the detection algorithm such that it still achieves essentially optimal performance but at a much smaller cost than exhaustive or sphere decoding algorithms. The theoretical results are validated by simulations.
UR - https://www.scopus.com/pages/publications/85062679846
U2 - 10.1109/COMNET.2018.8622301
DO - 10.1109/COMNET.2018.8622301
M3 - Conference contribution
AN - SCOPUS:85062679846
T3 - Comnet 2018 - 7th International Conference on Communications and Networking
BT - Comnet 2018 - 7th International Conference on Communications and Networking
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Communications and Networking, Comnet 2018
Y2 - 1 November 2018 through 3 November 2018
ER -