Generalized Spatio-Temporal Channel and System Characterization

This book presents new research results on channel characterization and modeling. MIMO channel characterization and modeling techniques are investigated. The first part exposes a generalized and systematic representation of systems and channels in the spatio-temporal domains. It is a generalization of the concepts introduced in the research literature: it consists of a set of sixteen kernel functions and eight system functions, in time, frequency, space and wave-vector domains. A series of examples illustrates the concept. In the second part, a space-time signal measurement technique is introduced along with a wave-vector-frequency spectrum estimation method. These are employed to create a large virtual antenna array from a small number of antenna elements. A new calibration technique to estimate measured wave vector spectra is presented. In the last part, a generalized view of the Doppler phenomenon, based on the characterization technique is presented. Here, the Doppler spectra, caused by scatterer mobility under different scatterer velocity distributions, are investigated. Fixed-wireless scenarios, with stationary transmitters and receivers with mobile scatterers are analyzed.

Autorentext

Dr. Pham received the Ph.D. degree from Laval University, Québec, QC, Canada, in 2010. His research interests include channel characterization, MIMO communications, and adaptive transmission for broadband wireless systems. Dr. Pham is a postdoctoral fellow at the University of Western Ontario and adjunct professor at Hanoi University of Technology.