mmWave Design
impact of clutter through the use of
multiple-input-multiple output (MIMO)
antennas.
A MIMO radar system uses a system
of multiple antennas with each transmit
antenna radiating an arbitrary waveform
independently of the other transmitting
antennas. Each receiving antenna can
receive these signals. Due to the different
wave forms, the echo signals can
be re-assigned to the single transmitter.
An antenna field of N transmitters and
a field of K receivers mathematically
results in a virtual field of K•N elements,
resulting in an enlarged virtual aperture
that allows the designer to
reduce the number of necessary
array elements. MIMO radar
systems thereby improve spatial
resolution and provide a substantially
improved immunity to
interference. By improving the
signal-to-noise ratio, the probability
of detection of the targets
is also increased.
VSS is able to implement
user-specified MIMO algorithms
and evaluate the overall performance
as it relates to the
channel model, which simulates
a highly-customizable multipath
fading channel that includes
channel path loss, the relative
velocity between the transmitter
and receiver, and the maximum
Doppler spread. Supporting
independent or continuous
block-to-block operation, the
channel can contain multiple
paths (LOS, Rayleigh, Ricean,
frequency shift) that can be
individually configured in terms
of their fading types, delays,
relative gains, and other applicable
features. This module
can also simulate a receiver
antenna array with user-defined
geometry, enabling simulation
of single-input-multiple-output
(SIMO) systems.
CONCLUSION
Advanced driver-assist systems
will not only become more
sophisticated and reliable; they
will become more prevalent on
most if not all vehicles in the
not-too-distant future. Thanks to
the similar advances in antenna
array and mmWave technology
that is occurring in 5G communications,
most cars and trucks
will be considerably safer than
today. Advances in simulation
technology, particularly in RF-aware circuit
design, array modeling, and systemlevel
co-simulation will enable antenna
designers and system integrators to
optimize these systems for challenging
size, cost, and reliability targets.
REFERENCES
1. Rohling, Hermann ; Meinecke, Marc-
Michael, “ Waveform Design Principles
for Automotive Radar Systems”,
Technical University of Hamburg-Harburg/
Germany, Conference: Radar,
2001 CIE International Conference on,
Proceedings /react-text
2. S.-H. Jeong, H.-Y. Yu, J.-E. Lee, et.
al., “A Multi-beam and Multi-range
Radar with FMCW and Digital Beamforming
for Automotive Applications”,”
Progress in Electromagnetics Research,
Vol. 124, 285{299, 2012
3. Jri Lee, Yi-An Li, Meng-Hsiung Hung,
and Shih-Jou Huang., “A Fully-Integrated
77-GHz FMCW Radar Transceiver
in 65-nm CMOS Technology”,”
IEEE Journal of Solid-State Circuits,
VOL. 45, NO. 12, December 2010
Figure 13: Simulation 2 of published 8 x 8 patch array on RO4003C PCB, approximately
2.3 x 2.5 cm. Tree-structure corporate feeding paths guarantee that the overall radiation is
constructive, resulting in an array with greater than 20 dBi gain over a 1 GHz bandwidth.
Figure 14: VSS can implement user-specified MIMO SIMO algorithms.
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