Designing MIMO Antennas for RF Front Ends
and Wireless ASICs
PhysWAVE’s flexibility
enables antenna design and coupling analysis for integrated chip-frontend-antenna
systems
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Wireless ASICs, RF Frontends for data and voice transmission, GPS subsystems, and RFID tags and
systems require integrated antenna sub-systems. These antennas need to provide multiple
transmit-receive, multi-input multi-output, and possibly frequency-reuse functionality.
The antennas need to function in the presence of non-ideal environments and a background of EMI and
crosstalk emanating from the system. In addition, antennas may couple back into elements of GDS and
RDL layers, packages, and sections of the board.
While several stand-alone antenna simulation tools exist, what is required, for an effective
solution, is a single-suite solution that allows for modeling of antennas in the same framework as
SI-PI-EMI-SNI simulation for chip-through-system.
PhysWAVE, through its flexibility and scalability, makes this possible
today.
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Tackling SI-PI- EMI-SNI (Simultaneous Noise Integrity) issues involving RDL
and GDS layers, complete packages, sections of board, and embedded passive and decoupling
capacitors is non-trivial. PhysWAVE makes this easier for the designer through flexibility,
scaling, accuracy, and efficiency of underlying 3d accelerated boundary element
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technology. This technology also provides sufficient flexibility to model
integrated antennas within the same complex system environments. Users can therefore use one
tool environment to examine both undesired (EMI / EMC) and desired (antenna patterns)
crosstalk, impedance mismatches, and radiation. Importantly, the antenna
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patterns are not idealized but are those produced in the presence of the
integrated system. Therefore effects such as multi-antenna crosstalk, interferences from
signal lines, power noise coupling, non-ideal and finite grounds, and non-planarities are
sufficiently accounted for.
In low-cost wireless ASICs, such as those that are ubiquitous in multiple
tether-free applications involving sensors and accelerometers in consumer electronics, health
and fitness applications, and automotive markets, there is a corresponding need for low-cost
effective antennas integrated into the ASIC system. An example of how PhysWAVE can
effectively design and verify such antennas is shown in Fig 1, where a single patch antenna,
designed to operate at the cellular frequency of 2.4 GHz is developed and validated against
measurement.
PhysWAVE can also be used to design other simple antennas such as folded
dipoles for wireless ASIC and RFID applications with ease. The patch antenna design and
verification, utilizing PhysWAVE, takes only about 0.82 mins per frequency and 12 mins total
turnaround time including model generation and parametrization / optimization.
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In complex RF applications, more directive and steerable antenna patterns are
often desired. Such applications include collision avoidance radar, last mile wireless
delivery systems, wireless HDMI, DTV, RF transceivers for data and voice, automotive and
aircraft wireless internet, etc. As an example, Fig 2 shows a steerable 4 X 4 patch antenna
array designed to function at a 20 GHz frequency with an impedance bandwidth of 625 MHz (3.1
%). The fabricated prototype is shown on the left, and the PhysWAVE model is shown next to
it. The model can be excited from microstrip ports or connected directly to exciting traces
from the associated sub-system.
PhysWAVE’s proprietary near-linear scaling technology enables the entire
antenna, with no periodic or infinite plan assumptions, to be modeled in 125 mins. The
reflecting S-parameter is depicted along with the array pattern showing a strong main lobe
and sidelobes.
In conclusion, PhysWAVE has the requisite flexibility to not only enable
SI-PI-EMI-SNI simulations of RDL/GDS-package-board sections but also to predict radiation
from simple and complex antennas associated with such systems arising in RF frontends and
wireless ASICs. To learn more about how PhysWAVE can help you today, visit www.physware.com.
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