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Article

Blind Equalization Based on Modified Third-Order Moment Algorithm for PAM-PPM Optical Signals in FSO Communication

School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
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Author to whom correspondence should be addressed.
Sensors 2025, 25(22), 7063; https://doi.org/10.3390/s25227063
Submission received: 5 October 2025 / Revised: 7 November 2025 / Accepted: 14 November 2025 / Published: 19 November 2025
(This article belongs to the Section Optical Sensors)

Abstract

In order to mitigate the influence of turbulence on pulse amplitude modulation–pulse position modulation (PAM-PPM) optical signals, which represents a promising avenue for future high-speed free-space optical (FSO) communication, this paper proposes a novel blind equalization scheme based on a modified third-order moment algorithm (MTOMA). The MTOMA is more robust to noise compared with the current fourth-order moment algorithms, such as the constant modulus algorithm (CMA) and the modified constant modulus algorithm (MCMA). Moreover, it will not increase the implementation complexity compared with the CMA and MCMA. The simulation results show that the MTOMA effectively reduces the distortion of PAM-PPM optical signals in atmospheric turbulence channels with a pointing error. Under different turbulence conditions, the MTOMA has a faster convergence rate than the CMA and MCMA. For example, when the signal-to-noise ratio (SNR) is 15 dB, the MTOMA requires about 530 iterations to reach convergence in moderate turbulence, which is about 230 and 170 fewer iterations than required by the CMA and MCMA, respectively; in addition, the differences in the number of iterations required by the MTOMA and those required by the CMA and MCMA, respectively, are 140 and 100 in weak turbulence and 150 and 90 in strong turbulence. Moreover, when the algorithms converge, the bit error rate (BER) performance of the PAM-PPM signals with MTOMA is also superior to that with CMA and MCMA. For example, when SNR = 20 dB, the BER performance of the PAM-PPM signals with MTOMA improves by 6.5 dB and 1.7 dB, respectively, compared to that with CMA and MCMA in moderate turbulence; this value improves by 4.3 dB and 1.4 dB in weak turbulence and 4.8 dB and 1.5 dB in strong turbulence. In addition, when the MTOMA reaches convergence, the decision-directed least mean square (DDLMS) algorithm can continue to be utilized to further improve the BER performance of PAM-PPM optical signals.
Keywords: PAM-PPM optical signal; blind equalization; modified third-order moment algorithm; FSO communication PAM-PPM optical signal; blind equalization; modified third-order moment algorithm; FSO communication

Share and Cite

MDPI and ACS Style

Luo, S.; Li, X. Blind Equalization Based on Modified Third-Order Moment Algorithm for PAM-PPM Optical Signals in FSO Communication. Sensors 2025, 25, 7063. https://doi.org/10.3390/s25227063

AMA Style

Luo S, Li X. Blind Equalization Based on Modified Third-Order Moment Algorithm for PAM-PPM Optical Signals in FSO Communication. Sensors. 2025; 25(22):7063. https://doi.org/10.3390/s25227063

Chicago/Turabian Style

Luo, Shutian, and Xiaofeng Li. 2025. "Blind Equalization Based on Modified Third-Order Moment Algorithm for PAM-PPM Optical Signals in FSO Communication" Sensors 25, no. 22: 7063. https://doi.org/10.3390/s25227063

APA Style

Luo, S., & Li, X. (2025). Blind Equalization Based on Modified Third-Order Moment Algorithm for PAM-PPM Optical Signals in FSO Communication. Sensors, 25(22), 7063. https://doi.org/10.3390/s25227063

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