2x2 Channel Estimation Link for 3GPP LTE System with MATLAB Implementation

This master's thesis presents a comprehensive implementation of 2x2 channel estimation link for 3GPP LTE systems, developed through original source code programming. The research encompasses detailed study and analysis of MIMO channel estimation techniques in both time and frequency domains. The investigation covers fundamental principles and methodologies of channel estimation, specifically applied within LTE system architecture. The thesis includes performance evaluation and validation of channel estimation algorithms, incorporating MATLAB simulations to assess metrics like Mean Square Error (MSE) and Bit Error Rate (BER). Key implementation aspects include Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators for frequency-domain analysis, while time-domain approaches utilize correlation-based channel impulse response estimation. The work proposes several enhancement strategies and future directions for improved estimation accuracy, including iterative algorithms and pilot pattern optimization. Additionally, the thesis provides a thorough review of relevant theoretical concepts and technical foundations, enabling readers to better understand and master this specialized field. The entire research process involved extensive experimental simulations and systematic analysis using MATLAB/Simulink environments, ensuring the accuracy and reliability of research outcomes. As an original work, this thesis possesses significant academic research value and practical application potential for wireless communication system development.