Low-complexity demodulation algorithm of hexagonal signal constellation

Xiang Yuan Bu; Ping Tang; Li Zhang; Dan Dan Liang

doi:10.13190/j.jbupt.2015.02.002

Low-complexity demodulation algorithm of hexagonal signal constellation

Xiang Yuan Bu, Ping Tang, Li Zhang, Dan Dan Liang

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Considering that hexagonal signal constellation (HSC) demodulation algorithm is not optimal, a low-complexity demodulation algorithm of HSC based on non-orthogonal vectors projection was proposed. On the basis of overview of the typical hexagonal constellation structure, the projection coefficients of hexagonal signal vectors and computational complexity of the algorithm were analyzed and calculated. The effect of noise on the received signal was researched and the signal to noise ratio thresholds were given combined with Gauss-Legendre numerical analysis method. It is shown that the demodulation algorithm is only about 30% of base vector projection demodulation algorithm in terms of computational complexity when it performs effectively.

Original language	English
Pages (from-to)	16-20 and 44
Journal	Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications
Volume	38
Issue number	2
DOIs	https://doi.org/10.13190/j.jbupt.2015.02.002
Publication status	Published - 1 Apr 2015

Keywords

Computational complexity
Demodulation algorithm
Gauss-Legendre algorithm
Hexagonal signal constellation
Signal to noise ratio threshold

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10.13190/j.jbupt.2015.02.002

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title = "Low-complexity demodulation algorithm of hexagonal signal constellation",

abstract = "Considering that hexagonal signal constellation (HSC) demodulation algorithm is not optimal, a low-complexity demodulation algorithm of HSC based on non-orthogonal vectors projection was proposed. On the basis of overview of the typical hexagonal constellation structure, the projection coefficients of hexagonal signal vectors and computational complexity of the algorithm were analyzed and calculated. The effect of noise on the received signal was researched and the signal to noise ratio thresholds were given combined with Gauss-Legendre numerical analysis method. It is shown that the demodulation algorithm is only about 30% of base vector projection demodulation algorithm in terms of computational complexity when it performs effectively.",

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AU - Bu, Xiang Yuan

AU - Tang, Ping

AU - Zhang, Li

AU - Liang, Dan Dan

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Y1 - 2015/4/1

N2 - Considering that hexagonal signal constellation (HSC) demodulation algorithm is not optimal, a low-complexity demodulation algorithm of HSC based on non-orthogonal vectors projection was proposed. On the basis of overview of the typical hexagonal constellation structure, the projection coefficients of hexagonal signal vectors and computational complexity of the algorithm were analyzed and calculated. The effect of noise on the received signal was researched and the signal to noise ratio thresholds were given combined with Gauss-Legendre numerical analysis method. It is shown that the demodulation algorithm is only about 30% of base vector projection demodulation algorithm in terms of computational complexity when it performs effectively.

AB - Considering that hexagonal signal constellation (HSC) demodulation algorithm is not optimal, a low-complexity demodulation algorithm of HSC based on non-orthogonal vectors projection was proposed. On the basis of overview of the typical hexagonal constellation structure, the projection coefficients of hexagonal signal vectors and computational complexity of the algorithm were analyzed and calculated. The effect of noise on the received signal was researched and the signal to noise ratio thresholds were given combined with Gauss-Legendre numerical analysis method. It is shown that the demodulation algorithm is only about 30% of base vector projection demodulation algorithm in terms of computational complexity when it performs effectively.

KW - Computational complexity

KW - Demodulation algorithm

KW - Gauss-Legendre algorithm

KW - Hexagonal signal constellation

KW - Signal to noise ratio threshold

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JF - Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications

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Low-complexity demodulation algorithm of hexagonal signal constellation

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