Efficient Programming of Re-configurable Radio Frequency (RF) Transmitter

For re-configurable RF transmitter, an important challenge is to find an optimal configuration for a specific communication standard. The particle swarm optimization(PSO) algorithm with a cross-variance operation is used in this paper to program the re-configurable RF transmitter, which can find the optimal configuration efficiently. The simulation results show that the designed RF transmitter meets the specified performance criteria, including dynamic range and linearity. Our numerical experiments demonstrate that the proposed methodology is more efficient (i.e., with low computational cost) than other traditional algorithms.