Blind Decorrelating Detection Based on Particle Swarm Optimization under Spreading Code Mismatch

摘要

A way of resolving spreading code mismatches in blind multiuser detection with a particle swarm optimization（PSO） approach is proposed. It has been shown that the PSO algorithm incorporating the linear system of the decorrelating detector, which is termed as decorrelating PSO（DPSO）, can significantly improve the bit error rate（BER） and the system capacity. As the code mismatch occurs, the output BER performance is vulnerable to degradation for DPSO. With a blind decorrelating scheme, the proposed blind DPSO（BDPSO） offers more robust capabilities over existing DPSO under code mismatch scenarios.