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Adaptive Calibration Methods for
an Image-Reject Mixer
Isaac Sever, 2001 M.S.
(advisor: Borivoje Nikolic)
The wireless communications market has grown substantially
during the last decade. Recent advances in
wireless technology have reduced the size and cost of mobile radios
while improving performance. The increasing level of integration in wireless
circuits has led to many of these improvements.
However, increased integration is dependent
on the development of novel transceiver architectures that allow the designer
to eliminate many large discrete electronic
components and to combine multiple circuit blocks
on a single chip.
At the same time, numerous wireless standards have been
introduced which dictate the performance
specifications of the hardware in wireless devices. Hardware requirements
differ substantially between wireless communications applications. The implementation
of multiple cellular standards in a single architecture also requires novel
transceiver design approaches. Currently, most
analog receiver front-ends use multiple integrated
circuits fabricated in different processes. It is difficult to meet the
requirements of multiple standards using
discrete components and simultaneously reduce the size of a receiver.
A novel multi-standard image-reject receiver was proposed in
[ ,2]. In past, image-reject designs have
focused on careful circuit layout and matching in order to achieve
maximum performance. This design features a different approach - in order to
allow the system to support multiple standards, the
mixer has the capacity for self- calibration.
The self-calibration procedure can be used to optimize system performance
over a wide frequency range. This improves the
system performance for each standard and
allows hardware reuse. The increase in wireless networking with various wireless
local area network (WLAN) protocols such as IEEE
802. b (in the 2.4Ghz band) and 802. a (in
the 5Ghz band) [22] creates new opportunities for multi-standard receives.
Migration from 802. b to 802. a will require a
dual-band solution, and would be a good
application of a multi-standard receiver.
The
fundamental limitations of an image-reject receiver and past attempts to minimize
the effect of circuit mismatches will be explored. A digital signal processing
algorithm will be proposed that can be used to
calibrate image-rejection mixers. The algorithm
and custom VLSI implementations, with the minimization of their power consumption
and circuit area in mind, will be explored.

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