In a wireless multiple-input multiple-output (MIMO) system

transmit antenna selection is an effective means of achieving good performance with low complexity.However

the space for the antenna array is usually limited on wireless terminal.Hence

antenna’s configurable pattern selection is considered to save space

using spatial multiplexing with linear receivers

and equal power and equal rate allocation to reduce feedback overhead.Under these constraints

a statistical adaptive transmit antenna pattern selection is studied to improve the capacity of spatially correlated MIMO fading channels.Then

we propose a fast transmit antenna pattern subset selection criterion based on maximizing this average lower-bound capacity.More over

in order to catch up the channel variant in low speed moving environment in a real transceiver

we also propose a refreshed gradient estimation method based on sliding time window.And the measured result indicates that the method reduces the searching time of reconfigurable patterns selection.