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Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling

Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling
A low-complexity semi-blind scheme is proposed for joint channel estimation and data detection on sphere manifold for multiple-input multiple-output (MIMO) systems with high-order quadrature amplitude modulation signaling. Specifically, the optimal channel estimator is expressed in the least squares form in terms of the received signals and unknown transmitted data, and by splitting the channel and transmitted data into their real parts and imaginary parts, the data detection becomes a problem defined on a scaled sphere manifold in the real domain. Our semi-blind algorithm consists of three stages: (i)~a few training symbols are employed to provide a rough initial MIMO channel estimate which in turn yields the initial zero-forcing (ZF) estimate of data samples; (ii)~the Riemannian conjugate gradient algorithm is used to estimate the data samples in real domain, and the detected data samples are used to estimate the final MIMO channel matrix; and (iii)~the final ZF data detection is carried out based on the final MIMO channel estimate. In particular, we present the first order Riemannian geometry of the sphere manifold which is utilized in the Riemannian conjugate gradient algorithm for solving (ii). Simulation results are employed to demonstrate the effectiveness of the proposed approach.
0016-0032
5680-5697
Hong, Xia
2a6c7517-e0af-4b2d-a5f1-40c85de17a5f
Gao, Junbin
a0c423e7-2455-40dd-92b8-79cdc5b18d4e
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
2a6c7517-e0af-4b2d-a5f1-40c85de17a5f
Gao, Junbin
a0c423e7-2455-40dd-92b8-79cdc5b18d4e
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Hong, Xia, Gao, Junbin and Chen, Sheng (2020) Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. Journal of the Frankin Institute, 357 (9), 5680-5697. (doi:10.1016/j.jfranklin.2020.04.009).

Record type: Article

Abstract

A low-complexity semi-blind scheme is proposed for joint channel estimation and data detection on sphere manifold for multiple-input multiple-output (MIMO) systems with high-order quadrature amplitude modulation signaling. Specifically, the optimal channel estimator is expressed in the least squares form in terms of the received signals and unknown transmitted data, and by splitting the channel and transmitted data into their real parts and imaginary parts, the data detection becomes a problem defined on a scaled sphere manifold in the real domain. Our semi-blind algorithm consists of three stages: (i)~a few training symbols are employed to provide a rough initial MIMO channel estimate which in turn yields the initial zero-forcing (ZF) estimate of data samples; (ii)~the Riemannian conjugate gradient algorithm is used to estimate the data samples in real domain, and the detected data samples are used to estimate the final MIMO channel matrix; and (iii)~the final ZF data detection is carried out based on the final MIMO channel estimate. In particular, we present the first order Riemannian geometry of the sphere manifold which is utilized in the Riemannian conjugate gradient algorithm for solving (ii). Simulation results are employed to demonstrate the effectiveness of the proposed approach.

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More information

Accepted/In Press date: 2 April 2020
e-pub ahead of print date: 16 April 2020
Published date: 1 June 2020

Identifiers

Local EPrints ID: 439546
URI: http://eprints.soton.ac.uk/id/eprint/439546
ISSN: 0016-0032
PURE UUID: 2598669f-be36-474b-bca8-239119841052

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Date deposited: 27 Apr 2020 16:30
Last modified: 06 Oct 2020 19:29

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