A Mnemonic Multiuser Detector Based on Genetic Algorithm in Multicode LAS-CDMA System

Multiple access interference still exists in large area-synchronized code division multiple access (LAS-CDMA) system when the LAS multicode is implemented. The generation of spreading sequences is given. Genetic algorithm (GA) is often used to get the multiuser detection (MUD) gain and its computational complexity is much less than that of the optimum maximum-likelihood (ML) detector. In order to further enhance the detection performance, a type of mnemonic GA detector based on the basic GA method is studied, where a replacement strategy of modified elitism is utilized. Simulation results shows that GA detector with memory can obviously reduce the number of iterations in the recursive process.