Genetic algorithm based antenna diversity assisted multiuser detection for synchronous CDMA systems

A spatial diversity reception assisted multiuser CDMA detector based on genetic algorithms (GAs) is proposed. Two different diversity selection strategies are considered. In our first approach the so-called individuals of the GA are chosen for selection based purely on the sum of their corresponding figures of merit associated with the individual antennas, an approach which is analogous to employing the conventional log-likelihood function (LLF) for diversity reception. According to our second strategy, the individuals are chosen for selection based on the concept of the so-called Pareto optimality, which uses the information from the individual antennas independently. Computer simulations showed that the GAs employing the latter strategy achieve a lower BER as compared to the former approach.