TY - GEN
T1 - Low-Complexity Linear Equalization for OTFS Systems with Rectangular Waveforms
AU - Zou, Tingting
AU - Xu, Wenjun
AU - Gao, Hui
AU - Bie, Zhisong
AU - Feng, Zhiyong
AU - Ding, Zhiguo
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant (No. 61871057, 61790553), and in part by the Fundamental Research Funds for the Central Universities under Grant 2019XD-A13.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - Orthogonal time frequency space (OTFS) is a promising technology for high-mobility wireless communications. However, the equalization realization in practical OTFS systems is a great challenge. In this paper, we first investigate the structure of the delay-Doppler domain effective channel matrix for more practical full-cyclic-prefix OTFS systems, and then reveal the block-circulant property and quasi-banded sparse structure of equalization matrices for the two typical linear equalization methods, i.e., zero-forcing and minimum mean square error. Then, two low-complexity linear equalizers are proposed, where Fast Fourier Transform and lower-upper (LU) factorization are efficiently leveraged to reduce the complexity. Compared with the existing low-complexity linear equalizers, the proposed equalizers improve the performance without additional complexity.
AB - Orthogonal time frequency space (OTFS) is a promising technology for high-mobility wireless communications. However, the equalization realization in practical OTFS systems is a great challenge. In this paper, we first investigate the structure of the delay-Doppler domain effective channel matrix for more practical full-cyclic-prefix OTFS systems, and then reveal the block-circulant property and quasi-banded sparse structure of equalization matrices for the two typical linear equalization methods, i.e., zero-forcing and minimum mean square error. Then, two low-complexity linear equalizers are proposed, where Fast Fourier Transform and lower-upper (LU) factorization are efficiently leveraged to reduce the complexity. Compared with the existing low-complexity linear equalizers, the proposed equalizers improve the performance without additional complexity.
KW - block-circulant
KW - channel equalization
KW - OTFS
KW - rectangular waveforms
UR - http://www.scopus.com/inward/record.url?scp=85112847666&partnerID=8YFLogxK
U2 - 10.1109/ICCWorkshops50388.2021.9473771
DO - 10.1109/ICCWorkshops50388.2021.9473771
M3 - Conference contribution
AN - SCOPUS:85112847666
T3 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
BT - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
Y2 - 14 June 2021 through 23 June 2021
ER -