Channel estimation scheme based on compressed sensing and parameter estimation for an orthogonal frequency division multiplexing visible light communications system

Jie Du; Honggui Deng; Xuewen Qian; Chaoyang Zhang

doi:10.1117/1.OE.55.11.116109

22 November 2016 Channel estimation scheme based on compressed sensing and parameter estimation for an orthogonal frequency division multiplexing visible light communications system

Jie Du, Honggui Deng, Xuewen Qian, Chaoyang Zhang

Author Affiliations +

Funded by: Central South University under Post-Graduation Innovation Fund

Optical Engineering, Vol. 55, Issue 11, 116109 (November 2016). https://doi.org/10.1117/1.OE.55.11.116109

Abstract

In order to mitigate bandwidth attenuation of diffusion link visible light communication systems caused by multipath effects, we present an optical orthogonal frequency division multiplexing channel estimation scheme based on compressed sensing (CS) and estimation of signal parameters via rotational invariance techniques (ESPRIT). First, we derived a parametric channel model. Then, we used ESPRIT to obtain multipath channel parameters. After that, we built a dynamic over-complete dictionary that can be used in CS processing. Finally, we reconstructed the channel response by using a basis pursuit denoising algorithm to equalize the received signal in frequency domain. Compared with traditional schemes, the proposed scheme can improve channel estimation accuracy without increasing dictionary size. A set of computer simulations demonstrated the effectiveness of the proposed scheme.

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Jie Du, Honggui Deng, Xuewen Qian, and Chaoyang Zhang "Channel estimation scheme based on compressed sensing and parameter estimation for an orthogonal frequency division multiplexing visible light communications system," Optical Engineering 55(11), 116109 (22 November 2016). https://doi.org/10.1117/1.OE.55.11.116109

Published: 22 November 2016

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