Spatial processing for wireless systems. Adaptive antennas. Beam forming networks. Digital radio receiver techniques and software radios.
Coherent and non-coherent CDMA spatial processors. Dynamic re-sectoring. Range and capacity extension– multi-cell systems.
Spatio – temporal channel models. Environment and signal parameters. Geometrically based single bounce elliptical model.
Optimal spatial filtering – adaptive algorithms for CDMA. Multitarget decision – directed algorithm.
DOA estimation – conventional and subspace methods. ML estimation techniques. Estimation of the number of sources using eigen decomposition. Direction finding and true ranging PL systems. Elliptic and hyperbolic PL systems. TDOA estimation techniques.
1. T.S.Rappaport & J.C.Liberti, Smart Antennas for Wireless Communication, Prentice Hall (PTR) ,1999.
2. R.Janaswamy, Radio Wave Propagation and Smart Antennas for Wireless Communication, Kluwer,2001.
1. M.J. Bronzel, Smart Antennas, John Wiley, 2004.
Students are able to
CO1: compare the performances of digital radio receivers and software radios.
CO2: study the CDMA spatial processors to analyze the multi-cell systems.
CO3: analyze the channel models for smart antenna systems.
CO4: study the environmental parameters for signal processing of smart antenna systems.
CO5: evaluate the requirements for the design and implementation of smart antenna systems
