Paper
20 February 2018 A joint equalization algorithm in high speed communication systems
Xin Hao, Changxing Lin, Zhaohui Wang, Binbin Cheng, Xianjin Deng
Author Affiliations +
Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 1069757 (2018) https://doi.org/10.1117/12.2307085
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China
Abstract
This paper presents a joint equalization algorithm in high speed communication systems. This algorithm takes the advantages of traditional equalization algorithms to use pre-equalization and post-equalization. The pre-equalization algorithm takes the advantage of CMA algorithm, which is not sensitive to the frequency offset. Pre-equalization is located before the carrier recovery loop in order to make the carrier recovery loop a better performance and overcome most of the frequency offset. The post-equalization takes the advantage of MMA algorithm in order to overcome the residual frequency offset. This paper analyzes the advantages and disadvantages of several equalization algorithms in the first place, and then simulates the proposed joint equalization algorithm in Matlab platform. The simulation results shows the constellation diagrams and the bit error rate curve, both these results show that the proposed joint equalization algorithm is better than the traditional algorithms. The residual frequency offset is shown directly in the constellation diagrams. When SNR is 14dB, the bit error rate of the simulated system with the proposed joint equalization algorithm is 103 times better than CMA algorithm, 77 times better than MMA equalization, and 9 times better than CMA-MMA equalization.
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Xin Hao, Changxing Lin, Zhaohui Wang, Binbin Cheng, and Xianjin Deng "A joint equalization algorithm in high speed communication systems", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 1069757 (20 February 2018); https://doi.org/10.1117/12.2307085
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KEYWORDS
Telecommunications

Computer simulations

Signal to noise ratio

Receivers

Field programmable gate arrays

MATLAB

Communication engineering

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