Research On Indoor MIMO Propagation Models And Key Technology

Wireless communication technology has experienced tremendous growth in the last ten years, the Internet business also had an explosive growth. The innovation of the technology and easy Internet accessing make it possible for people to enjoy the convenience of network at anywhere and anytime. Study indicated that over70%of the mobile communication business happened in indoor environment. Therefore, improving the indoor coverage, perfecting the user’s experience became a basic requirement for the development of wireless networks. However, the complexity of the indoor environment brought new challenges to wireless transmission technology.This paper first studied indoor coverage prediction technology and applied this to the WiFi indoor positioning system. We implemented the "off-line sampling" module, built a "signal strength to location" database for WiFi covered area, in order to achieve the next step:"on-line positioning" module.Next, paper studied the indoor signal correlation and its impact on MIMO channel capacity. We introduced the3D signal model into the research of indoor signal correlation, and described the angel power spectrum on vertical dimension, derived the calculation of correlation coefficient when using the3D model. Then, simulation is applied to investigate how the parameters as array spacing and angle of arrival impact the correlation coefficient, and thus impact the channel capacity of the entire MIMO system.Finally, this paper had a research on STBC, beamforming and other key technologies supported by the802.1In standard. We set up the802.1In physical layer simulation platform, simulated and evaluated the performance of these technologies with different channel models.