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201576 https://hdl.handle.net/2286/R.2.N.201576 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2025 40 pages Masters Thesis Academic theses en Derenge, Samuel Bliss, Daniel Chakrabarti, Chaitali Papandreou-Suppapola, Antonia Arizona State University Partial requirement for: M.S., Arizona State University, 2025 Field of study: Electrical Engineering High data rate optical communications offer significant advantages in bandwidth and ef-ficiency, but they also present challenges in signal processing due to distortions and channel impairments. Ensuring robust and efficient receiver processing is crucial for maintaining performance in these systems. To support high data rate optical communications, this work focuses on improving the receiver chain by analyzing and comparing adaptive equalizers. Specifically, the study examines the performance trade-offs between the Minimum Mean Squared Error (MMSE) Wiener filter and the Least Mean Squares (LMS) adaptive filter in mitigating distortions caused by a Rician fading channel with Carrier Frequency Offset (CFO). Results show that MMSE performs optimally when CFO is small, while LMS is more effective when CFO is large. The critical transition point between these regimes is deter- mined through simulation and analysis. These findings contribute to the understanding of adaptive equalization in space optical communication systems, providing insights that can guide the design of more efficient and resilient receivers for future high-speed optical links. Electrical Engineering Adaptive Equalizer carrier frequency offset least mean square Minimum mean squared error optical space communications Rician channel Comparative Study of Adaptive Equalizers in Optical Space Communications