2007 Graduate Catalog and 2006 Annual R & D Report - Sirindhorn ...

2007 Graduate Catalog and 2006 Annual R & D Report
Sirindhorn International Institute of Technology (SIIT)
detection of error bits by means of algebraic coding
techniques such as 1-D and 2-D convolutional code
are usually employed. Topics of interest include:
adaptive filtering, power spectrum estimation, array
processing, 2-D convolutional code design, and
application-specific coding design.
Dr. Duangrat Eungdamrong
Assistant Professor
B.S. & M.S. in Electrical Engineering, University of Wisconsin-Madison, WI, USA
Ph.D. in Electrical Engineering, University of Wisconsin-Milwaukee, WI, USA
Areas of Specialization: Wireless communication, Communication systems, Microwave and RF circuits,
Antenna, Electrical Sensors.
Research Interests:
Phase Noise Models
Because of an exponential growth in wireless
communication, demand for the frequency channels
in mobile communication application is increasing,
which in turn, imposes more stringent requirements
on phase noise of circuits. Oscillator phase noise is
an essential parameter that limits the performances of
many modern telecommunication systems because
introducing even small noise into the circuit leads to
dramatic changes in its frequency spectrum and
timing properties. Phase and frequency fluctuations
have been the subject of numerous studies both
experimentally and theoretically.
Open-Ended Coaxial Line Microwave Sensor
Open-ended coaxial lines have been used as
electromagnetic sensors or probes in various
industrial and scientific applications. This includes invivo
characterization of biological media,
nondestructive measurements of materials, and noncontact
testing of disbands in composites. In these
applications, a radio frequency or microwave signal
excites the probe that is placed against the sample
medium. An echo signal received by the coaxial
sensor carries the characteristics of the sample
material. Therefore, the reflection coefficient (or
aperture admittance) at the sensor can be monitored
to extract the sample characteristics. Hence, the
characterization process requires a suitable electrical
model of the coaxial sensor in contact with the
sample.
Transformation of Transistor’s S-parameters
Manufacturers generally supply the data sheets of
transistors containing S-parameters with respect to
the emitter (or the source). In other words, the
transistor is considered as a two-port device with
common emitter (or common source) configuration.
However, the design engineers may want to use other
configurations of the transistor for certain circuits.
Hence, the transformation of S-parameters of the
transistor is needed. Feedback networks can be
conveniently designed to obtain the desired device
behavior.
Antenna
In recent years, the need of wireless communications,
operating at 1.9 GHz, GSM-USA standard, 2.4-2.5
GHz, 802.llb WLAN, Bluetooth, 3G and 4G, has
grown at an exponential rate. Thus, it has been an
endless improvement in increasing the capability and
quality of transmission. Because of the struggle to
achieve high data rates without compromising the
quality of the received information, a new multiantenna
system that yields substantially increased
channel capacity had been proposed. In addition, a
new Multiple-input Multiple-output (MIMO) system
was also introduced to support this multi-antenna
system. Information are transmitted and received
through these multiple antennas. The system uses
the special routes to transmit more information with
little interference.
Dr. Sawasd Tantaratana
Professor
B.E.E. with high distinction, University of Minnesota, USA
M.S.E.E. Stanford University, USA
Ph.D. in Electrical Engineering, Princeton University, USA
Areas of Specialization: Communication systems, Spread-spectrum systems, Wireless communications,
Signal processing, Digital filter design and realization.
Research Insterests:
Communication Systems
Communication system design and analysis.
Performance evaluation of communication systems in
the presence of noise. Modulation techniques and
their performances. Signal detection, parameter
estimation, and filtering.
Wireless Communications and Spread-Spectrum
Systems
Spread - spectrum system design and analysis.
Synchronization (acquisition and tracking). CDMA
and OFDM. Multipath and fading effects in wireless
systems. Optimum and sub-optimum receivers.
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