3D Time-of-flight distance measurement with custom - Universität ...
3D Time-of-flight distance measurement with custom - Universität ...
3D Time-of-flight distance measurement with custom - Universität ...
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OPTICAL TOF RANGE MEASUREMENT 31<br />
phase as long as the integration time <strong>of</strong> each sampling point is shorter than the<br />
modulation period <strong>of</strong> the sampled signal, which is a reasonable claim. Only the<br />
measured amplitude is attenuated by a factor <strong>of</strong> δ / (∆t⋅sin δ) depending on the<br />
integration interval ∆t, <strong>with</strong> δ = π⋅∆t / T, T: modulation period. This factor, already<br />
considered in Equation 2.18, leads to a decrease in measured amplitude to 90% <strong>of</strong><br />
the real amplitude, if the integration time is chosen as a fourth <strong>of</strong> the modulation<br />
period ∆t = T/4 = 1/(4f). For ∆t = T/2 the measured amplitude is 64% <strong>of</strong> the real<br />
amplitude.<br />
In order to increase the SNR (signal to noise ratio) it is possible to perform a<br />
continuous, synchronous sampling <strong>of</strong> the periodic signal and to accumulate shorttime<br />
integrated sampling points ai belonging to the same phase to the long-time<br />
integrated values AI (see Figure 2.9). This technique can be described as a<br />
convolution or correlation <strong>of</strong> the input function <strong>with</strong> a square wave, the sampling<br />
function.<br />
A repetitively accumulated short-time integrated sampling point is given by:<br />
+<br />
⎪⎧<br />
⎛ t − j ⋅N<br />
⋅ tsamp<br />
⎞⎪⎫<br />
Ai<br />
= lim ∫ ⎨s(<br />
t − tϕ<br />
− ( i ⋅ tsamp<br />
) ) ⋅ ∑ rect⎜<br />
⎟⎬dt<br />
Tint<br />
→∞<br />
T<br />
j<br />
t<br />
int ⎪⎩<br />
⎜<br />
⎟<br />
⎝ ∆ ⎠⎪⎭<br />
−<br />
= s<br />
( t − t )<br />
ϕ<br />
Tint<br />
2<br />
2<br />
⎛ t ⎞<br />
⊗ squ⎜<br />
, N⋅<br />
tsamp<br />
⎟<br />
⎝ ∆t<br />
⎠<br />
With: squ(t/a,b): square wave <strong>with</strong> pulse width a and period b.<br />
a 0<br />
A<br />
a 1<br />
0<br />
∑<br />
= a0,<br />
i<br />
s(t-t ϕ)<br />
a 2<br />
a 3<br />
∆t t samp N·t samp 2·N·t samp<br />
Figure 2.9 Repetitive accumulating sampling.<br />
a 0<br />
a 1<br />
a 2<br />
a 3<br />
a 0<br />
Equation 2.20<br />
ampl.<br />
For very high frequencies a real system can no longer perform integration <strong>with</strong><br />
sharp integration boundaries. The necessary electrooptical shutter mechanism has<br />
characteristic rise/fall times and a frequency dependent efficiency as described in<br />
<strong>of</strong>fs.<br />
t