dSPACE - Magazine 2016/01

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COMPACT NEWS PAGE 82
DS5203 FPGA Board in Two New Variants
GNSS Signal Generation in HIL Simulation
The flexible DS5203 FPGA Board
for demanding tasks such as power
electronics simulation, signal pre-
processing, and support for special
interfaces and protocols, is now
available in two new, even more
powerful variants.
The DS5203 7K325 with a Xilinx®
Kintex® 7K325 FPGA and the
DS5203 7K410 with a Xilinx Kintex
7K410 FPGA are supported by the
new design software Xilinx Vivado®.
Users can therefore continue to
program the board conveniently
Predictive driver assistance systems
require satellite-supported capturing
of the vehicle position. To ensure the
robustness of these systems in every-
day operation, it must be possible to
test different satellite constellations
and scenarios such as dense urban
areas, tunnels, and adverse weather
conditions. dSPACE offers a special
Simulink blockset that lets developers
connect Global Navigation Satellite
System (GNSS) signal generators from
Spectracom )
to dSPACE hardware-in-the-loop (HIL)
simulators. Once the signal generators
are integrated in the simulation envi-
ronment and connected to the dSPACE
Automotive Simulation Models (ASM),
the blockset selects predefined GNSS
scenarios and controls the signal ge-
nerators. In a typical test, first the route
and driving maneuver of the ego-ve-
hicle are parameterized in the ASM
model and the desired GNSS scenario
is selected, e.g., the number of satel-
lites, the atmospheric model or multi-
path propagation. During test execu-
via the tried-and-tested Xilinx System
Generator (XSG) in Simulink. This
also ensures compatibility with the
current MATLAB® releases.
tion, the HIL simulator then consistently
sends the position data of the ego-vehi-
cle to the GNSS signal generator, which
prepares the data as a high-frequency
GNSS signal according to the scena-
rio and the device under test.
GNSS
blockset
GNSS signal generator Device under test
Position of
ego-vehicle
GNSS
signal
Restbus
simulation
Selection
GNSS
scenarios
Tests
Predictive ADAS
Source:
Spectracom
dSPACE Magazine 1/2016 · © dSPACE GmbH, Paderborn, Germany · ·