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2. Adaptive Cruise Control
1A 2A
(a) (b)
δ δ
1Ï• 2Ï•
1ε 2ε
Figure 2.8.: (a) Signals received by Tx1 and Tx2 and (b) error signal of eq. (2.8), (a)
and (b) forϕ1<ϕ2, both adapted from [Mah88]
Assuming that d r (fig. 2.7), the difference between the two signals reads r2−r1 =
d sin(ϕ). Thisdifference in lengthresults inaphaseshift∆δ= 2pidλ sin(ϕ)of thereceived
signals. Using this expression and eq. (2.9), the azimuth angle can be calculated by
Ï•= arcsin [
λ
pi d arctan (∣∣∣∣∆∑∣∣∣∣)]. (2.10)
Scanning RADAR
Scanning RADAR sensors sweep a narrow RADAR beam over the FOV. Figure 2.9(a)
shows an illustration for one object atϕi. The lower graph shows the received powerP
for different discrete angles. The maximum of the power is received at azimuth angleϕi
of the object, [Win09]. A mechanical or an electrical mechanism can be used to deflect
the RADAR beam.
Multi-Beam RADAR
InMulti-Beam RADAR sensors, thedeviceemitsanumberoffixedbeams. Figure2.9(b)
gives an example of a RADAR sensor with two beams, Tx1 and Tx2. Using the received
powerP of every antenna and the antenna diagram, the azimuth angleϕi of the object
can be found, [Win09].
16
Integration of Advanced Driver Assistance Systems on Full-Vehicle Level
Parametrization of an Adaptive Cruise Control System Based on Test Drives
- Title
- Integration of Advanced Driver Assistance Systems on Full-Vehicle Level
- Subtitle
- Parametrization of an Adaptive Cruise Control System Based on Test Drives
- Author
- Stefan Bernsteiner
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Graz
- Date
- 2016
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-469-3
- Size
- 21.0 x 29.7 cm
- Pages
- 148
- Category
- Technik