Low-Complexity Linear Equalization for OTFS Modulation

In this letter, we propose low-complexity linear equalizers for orthogonal time frequency space (OTFS) modulation that exploit the structure of the effective channel matrix in OTFS. The proposed approach exploits the block circulant nature of the OTFS channel matrix to achieve significant complexity...

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Bibliographic Details
Published in:IEEE communications letters Vol. 24; no. 2; pp. 330 - 334
Main Authors: Surabhi, G. D., Chockalingam, A.
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
block circulant matrices
Complexity
Complexity theory
computational complexity
Doppler effect
Equalization
Equalizers
Frequency modulation
linear equalizers
Matrix decomposition
Modulation
OTFS modulation
Transforms
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:In this letter, we propose low-complexity linear equalizers for orthogonal time frequency space (OTFS) modulation that exploit the structure of the effective channel matrix in OTFS. The proposed approach exploits the block circulant nature of the OTFS channel matrix to achieve significant complexity reduction. For an N × M OTFS system, where N and M are the number of Doppler and delay bins, respectively, the proposed approach gives exact minimum mean square error (MMSE) and zero-forcing (ZF) solutions with just O(MN log MN) complexity, while MMSE and ZF solutions using the traditional matrix inversion approach require O(M 3 N 3 ) complexity. The proposed approach can provide low complexity initial solutions for local search techniques to achieve enhanced bit error performance.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2019.2956709