MIMO OTA Probe Selection Based on Particle Swarm Optimization

Multiple-input-multiple-output (MIMO) Over-the-air (OTA) testing has attracted great interests for reproducing the realistic channel environment. Among different solutions of OTA, multi-probe anechoic chamber (MPAC) is widely used due to its controllability for channel environment reconstruction. In MPAC, each physical channel of the channel emulator needs to be connected to one polarization of the probe, so it is meaningful to use fewer pro. This paper proposes a particle swarm optimization (PSO) method to find out the positions of the probes and their corresponding probe probes while reproducing the target channel as accurately as possible. It is shown that compared with the traditional uniform probe distribution method, reducing the number of probes can still achieve accurate channel spatial reconstruction.