TY - GEN
T1 - Frequency Offset Estimation for OTFS Systems Based on Deep Belief Networks
AU - Zhang, Yuchen
AU - Fu, Rao
AU - Wang, Yufei
AU - Dong, Xiaohui
AU - Yang, Xinxin
AU - Kadoch, Michel
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this study, we introduce a Carrier Frequency Offset (CFO) estimation technique based on Deep Belief Networks (DBN) in the context of deep learning principles. We leverage unsupervised learning methods to pre-train the layers of a Restricted Boltzmann Machine (RBM), keeping the initial weights and biases within an ideal range. Subsequently, supervised learning is employed to finetune the network parameters, mitigating issues related to random parameter initialization and local optima. Experimental analysis indicates that the CFO estimation accuracy significantly improves with the DBN-based CFO estimation technique in high-dynamic environments. Moreover, there is a notable enhancement in Bit Error Rate (BER) performance.
AB - In this study, we introduce a Carrier Frequency Offset (CFO) estimation technique based on Deep Belief Networks (DBN) in the context of deep learning principles. We leverage unsupervised learning methods to pre-train the layers of a Restricted Boltzmann Machine (RBM), keeping the initial weights and biases within an ideal range. Subsequently, supervised learning is employed to finetune the network parameters, mitigating issues related to random parameter initialization and local optima. Experimental analysis indicates that the CFO estimation accuracy significantly improves with the DBN-based CFO estimation technique in high-dynamic environments. Moreover, there is a notable enhancement in Bit Error Rate (BER) performance.
KW - Carrier Frequency Offset Estimation
KW - Deep Belief Network
KW - OTFS System
UR - https://www.scopus.com/pages/publications/105004791982
U2 - 10.1109/ICIPNP62754.2023.00108
DO - 10.1109/ICIPNP62754.2023.00108
M3 - 会议稿件
AN - SCOPUS:105004791982
T3 - Proceedings - 2023 International Conference on Information Processing and Network Provisioning, ICIPNP 2023
SP - 495
EP - 499
BT - Proceedings - 2023 International Conference on Information Processing and Network Provisioning, ICIPNP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Information Processing and Network Provisioning, ICIPNP 2023
Y2 - 26 October 2023 through 27 October 2023
ER -