Complete Collection of CDMA Multiuser Detection Algorithms

This complete collection of CDMA multiuser detection algorithms encompasses optimal detectors, correlation detectors, Kalman detectors, subspace detectors, adaptive multiuser detectors, and blind adaptive multiuser detectors. These algorithms play a critical role in CDMA systems by mitigating multiple access interference and improving system capacity. In my master's thesis, I conducted extensive research on these detection methods and developed a novel improved approach to enhance multiuser detection performance. The implementation typically involves MATLAB code for algorithm simulation, where key functions include signal covariance matrix computation, adaptive filter updates using LMS or RLS algorithms, and subspace decomposition techniques like SVD for interference cancellation. The research involved comprehensive simulation experiments and performance evaluations using Bit Error Rate (BER) analysis and computational complexity assessments. The results demonstrate the effectiveness and superiority of the proposed method compared to conventional detection techniques. Therefore, my master's thesis serves as a valuable reference resource for researchers and engineers interested in CDMA multiuser detection algorithms, providing both theoretical foundations and practical implementation guidelines.