TY - GEN
T1 - Coherent Signal Enumeration based on Deep Learning and the FTMR Algorithm
AU - Hoang, Dai Trong
AU - Lee, Kyungchun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This work explores the potential of a deep learning-aided detector for narrowband signal enumeration in a coherent environment. Specifically, we introduce the logarithmic eigenvalue-based classification network (LogECNet) to detect the signal number. In the proposed scheme, the full-row Toeplitz matrices reconstruction (FTMR) algorithm is employed to avoid the rank loss of the signal covariance matrix (SCM) in highly correlated signal environments. The simulation results show that the FTMR method not only achieves the complexity reduction with respect to the prior forward/backward spatial smoothing (FBSS) algorithm, but also improves the signal number detection performance when combined with LogECNet.
AB - This work explores the potential of a deep learning-aided detector for narrowband signal enumeration in a coherent environment. Specifically, we introduce the logarithmic eigenvalue-based classification network (LogECNet) to detect the signal number. In the proposed scheme, the full-row Toeplitz matrices reconstruction (FTMR) algorithm is employed to avoid the rank loss of the signal covariance matrix (SCM) in highly correlated signal environments. The simulation results show that the FTMR method not only achieves the complexity reduction with respect to the prior forward/backward spatial smoothing (FBSS) algorithm, but also improves the signal number detection performance when combined with LogECNet.
KW - deep neural network
KW - Source number detection
KW - Toeplitz matrix
KW - uniform linear array
UR - http://www.scopus.com/inward/record.url?scp=85126960403&partnerID=8YFLogxK
U2 - 10.1109/ICC45855.2022.9838253
DO - 10.1109/ICC45855.2022.9838253
M3 - Conference contribution
AN - SCOPUS:85126960403
T3 - IEEE International Conference on Communications
SP - 5098
EP - 5103
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -