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IQ Modulation and Demodulation with Channel Noise
EEE-B-01
Tom Sultan; tomsultan13@gmail.com Daniel Lee Cohen; daniel.54117@gmail.com
Advisor: Mr. Uzi Chester
SCE - Shamoon College of Engineering, Ashdod
In communication systems, transmission often introduces significant signal distortions due to various channel impairments such as reflections, multipath propagation, and time-varying channel characteristics. These distortions degrade the structure of the signal constellation, making it difficult to accurately and reliably reconstruct the transmitted information on the receiver side. To mitigate the distortions and enhance signal reception quality, this project implemented a blind channel equalization method that does not require prior knowledge of the channel characteristics. Specifically, we employed a technique known as coordinate merging algorithms (CMA). To evaluate algorithm performance, the Bit Error Rate (BER) was measured before and after applying CMA, comparing it to the theoretical results. This enabled stable and accurate reception even under challenging transmission conditions.
Keywords: digital communication, signal distorting, system analysis and design
IQ Imbalance Compensation
EEE-B-02
Matan Peled; matanpeled74@gmail.com Tomer Afriat; tomerafriat88@gmail.com
Advisor: Mr. Uzi Chester
SCE - Shamoon College of Engineering, Ashdod
This project addressed IQ imbalance. This is a common issue in IQ modulation, a key technique in digital communication systems. The imbalance occurs due to amplitude or phase mismatches between the In-phase (I) and Quadrature (Q) components, leading to signal distortion and degraded transmission quality. Our goal was to identify and reconstruct transmitted signals while minimizing noise, interference, and distortions. MATLAB was used to implement error compensation algorithms for precise signal correction, adaptive filters to reduce noise, and distortion correction techniques to enhance signal integrity. The project enhanced transmission reliability and signal quality through phase alignment, signal processing optimization, and automatic correction, ensuring improved transmission quality and reliability in dynamic conditions.
Keywords: digital communications, imbalance compensation, IQ modulation