Title:
ICA_for_Multi_User_Detection_in_CDMA_system
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Description: Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources,ICA can seperate the mixed signal to orignal signals without any information.
This Matlab Code simulate the using ICA for Multi User Detection (MUD) in CDMA system. We demo the CDMA system with 30 Users, and use ICA seperate the signal of each user at Base Transmit Station (BTS) with the only 30 Users signal.
- [icaMF] - ICA algorithm:The algorithm is equivalen
- [DS-CDMA] - spread spectrum communication source of
- [2Tx-2Rx-STBC-MIMO] - This a 2 on the 2 admission, STBC MIMO m
- [ML_and_MAP] - Maximum Likelihood (ML) criteria and max
- [1] - Blind multi-user detection kalman lms rl
- [RST-MUD] - dynamic MUD application of IEEE paper Ra
- [Ristaniemi276-00] - Advanced ICA-Based Receivers for DS-CDMA
- [Yap249-01] - Blind Adaptive Detection for CDMA System
- [multi-user-Deteetion] - This paper introduees cause of formation
- [PgonMCCDMA] - This program is used to analyze the effe
File list (Check if you may need any files):
Multi User Detection in CDMA Simulation\gold5.mat
.......................................\gold5gen.m
.......................................\mixedsig.mat
.......................................\siggen3.asv
.......................................\siggen3.m
.......................................\sudica.m
.......................................\temp.mat
.......................................\yfastica.m
Multi User Detection in CDMA Simulation
