Digital Signal Processing Reference
In-Depth Information
Fig. 8.18
Real PIT
waveform obtained during the
experimental campaign
described in
Rius et al.
(
2012
), from an aircraft at
200 m altitude flying over
estuary calm waters. The PIT
waveform has contribution
from all the transmitted
codes, which for that
particular GPS satellite were
C/A, P(Y), and M codes.
Compare with the theoretical
PIT waveform in
Martín-Neira et al.
(
2011
,
Fig. 6)
Fig. 8.19
Real PIT
waveform and C/A reflected
waveforms obtained during
the experimental campaign
described in
Rius et al.
(
2012
), using two different
receivers (
Rius et al. 2011
;
Nogués-Correig et al. 2007
)
from an aircraft at 3 km
altitude flying over Ocean
waters. The floor-noise levels
have been subtracted for
better comparison. Coherence
integration time: 1 ms;
non-coherent averaging: 20 s
also seen. Another example of a PIT waveform under rougher surface conditions
is displayed in Fig.
8.19
. The plot shows both real PIT and C/A-code waveforms
taken simultaneously with two different receivers (PIR-A
Rius et al. 2011
and
GOLD-RTR
Nogués-Correig et al. 2007
) from an aircraft flying at 3 km altitude
over the Ocean surface. Both suffer distortion due to the diffuse scattering, but the
PIT waveform still presents a steeper leading edge.
8.10
Observables
In the frame of these GNSS-R Chapters, we will define the
observables
as mea-
surable objects (scalar values, arrays,...) from which geo-physical information can
be derived. Different receiving instruments produce different types of observables,
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