7 January 2013 Improved maximum likelihood detection for mitigating fading estimation error in free space optical communication
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Abstract
To mitigate the impact of the error between the estimated channel fading coefficient and the perfect fading coefficient on the bit error rate (BER), a priori conditional probability density function averaging the estimation error is proposed. Then, an improved maximum-likelihood (ML) symbol-by-symbol detection is derived for the free-space optical communication systems, which implement pilot symbol assisted modulation. To reduce complexity, a closed-form suboptimal improved ML detection is deduced using distribution approximation. Numerical results confirm that BER performance improvement can be reached by the improved ML detection, and that its suboptimal version performs as well as it does. Therefore, they both outperform classical ML detection, which doses not consider channel estimation error.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Lu Zhang, Lu Zhang, Zhiyong Wu, Zhiyong Wu, Yaoyu Zhang, Yaoyu Zhang, Huang Detian, Huang Detian, "Improved maximum likelihood detection for mitigating fading estimation error in free space optical communication," Optical Engineering 52(1), 015004 (7 January 2013). https://doi.org/10.1117/1.OE.52.1.015004 . Submission:
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