Simulation and Analysis of Linear Multiple User Detection Based on Simulink
Sheng Liang, Yong Cheng Xie, Gao Feng Pan, Jun Xue, Xin Feng Yu · Applied Mechanics and Materials · 2012
In order to study the feasibility of linear Multiple User Detection (MUD) used in multi-objective spread spectrum TT&C, mathematical models of Decorrelation Algorithm (DEC) and Minimum Mean Square Error Algorithm (MMSE) are built. Simulation framework based on Simulink is given. Two algorithms are compared with traditional single user detector. The results of simulation show the two linear MUDs are better than traditional single user detection.