(1) In this year, using the LCX channel model, we built an indoor scenario and generated RSSI data. Based on the data correlation analysis and prediction theory, the lower bound and upper bound of predictability of generated LCX RSSI data have been researched. Then the RSSI value ahead has been predicted using a probabilistic neural network (PNN). The similar research on indoor localization has also been realized with more accurate localization level using PNN.
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(2) A new research direction of localization of multiple users over wireless coverage using LCX has been proposed, which evaluated the TOA estimation of multiple users in a simultaneous way. Furthermore, we also investigated the capacity improvement of LCX system using spatial modulation with the main idea of on/off the LCX slots.