Training and Voids in Receive Antenna Subset Selection in Time-Varying Channels

摘要: Receive antenna selection (AS) provides many benefits of multiple-antenna systems at drastically reduced hardware costs. In it, the receiver connects a dynamically selected subset N available antennas to L RF chains. Due nature AS, channel estimates different antennas, which are required determine best for data reception, obtained from transmissions pilot sequence. Consequently, they outdated by amounts in time varying channel. We show that linear weighting is necessary and optimum process, where weights related temporal correlation variations. When not an integer divisor N, we highlight new issue "training voids", last transmission fully exploited receiver. then present "void filling" methods exploit these voids greatly improve performance AS. The optimal rules with void filling, turn out have numbers estimates, also explicitly characterized. Closed form equations symbol error probability without void-filling developed.