Low-complexity Linear Equalization for 2�2 MIMO-OTFS Signals

Surabhi, GD and Chockalingam, A (2020) Low-complexity Linear Equalization for 2�2 MIMO-OTFS Signals. In: 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020, 26-29 May 2020, Atlanta; United States.

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Abstract

Orthogonal time frequency space (OTFS) modulation is a two-dimensional modulation scheme which has superior performance compared to conventional multicarrier modulation schemes. In this paper, we propose low-complexity linear equalizers for a 2 � 2 multiple-input-multiple-output (MIMO) OTFS system. The proposed equalizers are designed by exploiting the structure of the effective delay-Doppler MIMO channel matrix in a MIMO-OTFS system. The channel matrix in a MIMOOTFS system is a block matrix composed of blocks which have a block circulant with circulant block structure. The proposed approach makes use of the properties of block matrices and block circulant matrices to reduce the computational complexity of linear equalizers. For a 2 � 2 MIMO-OTFS system that uses N �M OTFS modulation, where N and M denote the number of Doppler and delay bins, respectively, the proposed linear equalizers provide exact solution with a computational complexity of \mathcalO(MN logMN), whereas conventional linear equalizers require a complexity of \mathcalO(M3N3). © 2020 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Computational complexity; Matrix algebra; MIMO systems; Modulation, Block circulant; Block structures; Block-circulant matrices; Channel matrices; Linear equalization; Linear equalizer; Time-frequency space; Two dimensional modulations, Equalizers
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	20 Nov 2020 09:36
Last Modified:	20 Nov 2020 09:36
URI:	http://eprints.iisc.ac.in/id/eprint/66620

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