Title:  Signal Detection and Synchronization for Advanced Multi-carrier Systems

Committee:

Dr. Xiaoli Ma, ECE, Chair , Advisor

Dr. Gee-Kung Chang, ECE

Dr. John Barry, ECE

Dr. Geoffrey Li, ECE

Dr. Hao-Min Zhou, Math

Abstract:

This dissertation includes the analysis, design, and implementation of timing and carrier frequency synchronization schemes for FBMC-OQAM and UFMC systems. We have developed data-aid synchronization methods for both systems. First, we have analyzed the correlation outputs of training signals in FBMC-OQAM to develop the signal detection, coarse TO, and CFO estimation algorithms. The proposed synchronization algorithms for FBMC-OQAM systems can be applicable not only burst/continuous transmission but also multi-input multi-output(MIMO) with space time-block coding (STBC). Second, we have developed the criterion for filter parameter selection for UFMC systems to avoid loss of useful properties of training symbols in UFMC systems. Then, we proposed the normalization schemes to simplify setting a threshold for signal detection. Moreover, integer and fractional CFO estimation along with cell ID detection schemes are proposed for UFMC systems. We also present the coarse TO and CFO estimation for asynchronous multi-user uplink (UL) transmissions. As the received signal at the base station is the summation of all multi-user signals, we have proposed the sub-band-based filtering to avoid multi-user interference (MUI) from asynchronous transmission among multi-users. Moreover, we have proposed new filtering schemes as service-based filtering to support multi-service communications (MSC). In MSC systems, multi-user and multi-service signals with different system specification are combined in same radio carrier frequency. We have developed the service-based filtering schemes to reduce inter-service interference (IsvI) and multi-service interference (MsvI). Finally, we have demonstrated the over-the-air transmission to evaluate the performance of proposed asynchronous multi-user and MSC systems.