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FSFLK 데이터시트(PDF) 17 Page - NXP Semiconductors

부품명 FSFLK
상세설명  Freescale Sensor Fusion Library for Kinetis MCUs
PDF  37 Pages
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제조업체  NXP [NXP Semiconductors]
홈페이지  http://www.nxp.com
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Freescale Sensor Fusion Library for Kinetis MCUs
Freescale Semiconductor, Inc.
— Total field: 47.9418 µT
• Ideal accelerometer model + simple noise
— Sample rate = 200 Hz
— milli-g noise on X,Y,Z
— 1 g = 9.80665 m/s
2 assumed
• Ideal magnetometer model + simple nose
— Sample rate = 200 Hz
— X, Y noise 0.85 µT; Z noise 1.3
• No hard/soft iron distortion
• Ideal gyroscope model and simple noise
— Sample rate 200 Hz
— X, Y, Z noise 0.3 dps
For all tests, the Freescale Matlab-based Trajectory & Sensor Simulation Toolkit (TSim) is used to
create DUT trajectories and simulated sensors readings.
Some of the tests require that magnetic calibration procedure is run before the test to initialize the
sensor fusion software magnetic buffer. Magnetic calibration is implemented as a trajectory made up of
a sequence of random rotations lasting 30seconds.
Benchtop Rotary Table
A variant on the Matlab-based system is shown
desktop rotary table and to post-process the fusion results into reports. Physical sensor readings are
used to drive the fusion routines. Because indoor environments vary magnetically, results may vary
from day to day as the setup is moved or electronics in the area cycle on and off.
Results will also change simply because the state of the magnetic buffer is continuously updated.
Figure
Freescale Sensor Fusion Library for Kinetis MCUs, Rev. 0.7, 9/2015
Ideal accelerometer model + simple noise
assumed
Ideal magnetometer model + simple nose
1.3 µT
Ideal gyroscope model and simple noise
based Trajectory & Sensor Simulation Toolkit (TSim) is used to
create DUT trajectories and simulated sensors readings.
Some of the tests require that magnetic calibration procedure is run before the test to initialize the
magnetic buffer. Magnetic calibration is implemented as a trajectory made up of
a sequence of random rotations lasting 30seconds.
based system is shown in Figure 11. In this case, Matlab is used to control a
process the fusion results into reports. Physical sensor readings are
used to drive the fusion routines. Because indoor environments vary magnetically, results may vary
moved or electronics in the area cycle on and off.
Results will also change simply because the state of the magnetic buffer is continuously updated.
Figure 11. Benchtop Rotary Table Setup
based Trajectory & Sensor Simulation Toolkit (TSim) is used to
Some of the tests require that magnetic calibration procedure is run before the test to initialize the
magnetic buffer. Magnetic calibration is implemented as a trajectory made up of
is used to control a
process the fusion results into reports. Physical sensor readings are
used to drive the fusion routines. Because indoor environments vary magnetically, results may vary
Results will also change simply because the state of the magnetic buffer is continuously updated.



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