Explore MATLAB source code curated for "CDMA" with clean implementations, documentation, and examples.
Comprehensive CDMA multiuser detection algorithms collection featuring optimal detectors, correlation detectors, Kalman detectors, subspace detectors, adaptive multiuser detectors, blind adaptive multiuser detectors, and more. Includes MATLAB implementation examples with algorithm explanations suitable for master's thesis research and practical system development.
Implementation and comparative analysis of MMSE (Minimum Mean Square Error) and ZF (Zero-Forcing) multiuser joint detection algorithms in CDMA and MC-CDMA wireless communication systems, including algorithmic frameworks and MATLAB-style implementation considerations.
Simulation of Multi-User Detection Algorithms for CDMA Wireless Systems with Performance Verification and Implementation Analysis
Comparative Analysis of Traditional and MMSE Multi-User Detection in CDMA (Forward and Reverse Links) with Algorithm Implementation Insights
CDMA Power Control (MATLAB Model) - Fundamental Module for Wireless 3G Communication Systems
MATLAB simulation program for CDMA systems featuring detailed implementation processes, code explanations, and comprehensive technical documentation - a rare and valuable resource for wireless communications research
Blind Source Separation (BSS) has emerged as a critical signal processing technology, with Independent Component Analysis (ICA) serving as its primary technique. ICA enables the separation of mixed non-Gaussian source signals into their original components without prior information about the mixing process. This MATLAB implementation demonstrates ICA-based Multiuser Detection (MUD) in a CDMA system, showcasing separation of 30 unique user signals at the Base Transceiver Station (BTS).
Wireless communication CDMA and MIMO diversity reception technologies - covering 1 transmit 2 receive (SIMO), 2 transmit 1 receive (MISO), 1 transmit 1 receive (SISO), and 2 transmit 2 receive (MIMO) configurations
Simulation of a CDMA spread spectrum communication system using MATLAB functions. The system models synchronous communication for 6 users, each employing Gold codes of length L=31 for spreading, with transmission over an AWGN channel. The receiver uses matched filter detection for signal recovery. The simulation plots bit error rate (BER) curves for N=10000 transmitted bits across SNR values ranging from 0 to 15 dB, demonstrating system performance under varying noise conditions.
Beamforming channel estimation algorithm applicable for 4G communication simulations including LTE and CDMA systems. Validated for correctness with implementation-ready MATLAB/Python code structures.