TY - GEN
T1 - Chirp Parameter Selection for AFDM with MMSE Equalization in Static Multipath Channels
AU - Li, Zunqi
AU - Fang, Xiaojie
AU - Dong, Heng
AU - Zhang, Chuanbin
AU - Sha, Xuejun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Affine Frequency Division Multiplexing (AFDM) has emerged as a promising technique, offering optimal diversity performance with maximum likelihood (ML) detection and comparable results to Orthogonal Time Frequency Space (OTFS) in doubly selective channels. However, the performance of AFDM with minimum mean square error (MMSE) equalization in static multipath channels has not been extensively investigated. In this paper, we analyze the impact of the chirp parameter on AFDM transmission performance with MMSE equalization and derive the lower bound on the bit error rate (BER) performance of AFDM. Our findings reveal that, through appropriate parameter selection, AFDM, similar to OTFS, can achieve a lower bound on the BER performance in static channels. Moreover, we propose a specific parameter selection strategy to facilitate optimal transmission in AFDM. Simulation results demonstrate that this strategy enables the optimal transmission of AFDM signals with MMSE equalization.
AB - Affine Frequency Division Multiplexing (AFDM) has emerged as a promising technique, offering optimal diversity performance with maximum likelihood (ML) detection and comparable results to Orthogonal Time Frequency Space (OTFS) in doubly selective channels. However, the performance of AFDM with minimum mean square error (MMSE) equalization in static multipath channels has not been extensively investigated. In this paper, we analyze the impact of the chirp parameter on AFDM transmission performance with MMSE equalization and derive the lower bound on the bit error rate (BER) performance of AFDM. Our findings reveal that, through appropriate parameter selection, AFDM, similar to OTFS, can achieve a lower bound on the BER performance in static channels. Moreover, we propose a specific parameter selection strategy to facilitate optimal transmission in AFDM. Simulation results demonstrate that this strategy enables the optimal transmission of AFDM signals with MMSE equalization.
KW - AFDM
KW - MMSE
KW - OTFS
KW - channel equalization
KW - static multipath channels
UR - https://www.scopus.com/pages/publications/85190291354
U2 - 10.1109/GCWkshps58843.2023.10465089
DO - 10.1109/GCWkshps58843.2023.10465089
M3 - 会议稿件
AN - SCOPUS:85190291354
T3 - 2023 IEEE Globecom Workshops, GC Wkshps 2023
SP - 1099
EP - 1104
BT - 2023 IEEE Globecom Workshops, GC Wkshps 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Globecom Workshops, GLOBECOM Workshop 2023
Y2 - 4 December 2023 through 8 December 2023
ER -