Difference between revisions of "Aufgaben:Exercise 2.7: Is the Modulation Depth Too High?"

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'''(2)'''  Aus der Bedingung  $a(t) = q(t) + A_{\rm T} = 0$  folgt direkt für die erste Nullstelle:
+
'''(2)'''  From the condition  $a(t) = q(t) + A_{\rm T} = 0$  it follows directly for the first zero crossing:
 
:$$ \cos (2\pi \cdot f_{\rm N}\cdot t_1 ) = \frac{-A_{\rm T}}{A_{\rm N}}= -0.8 \hspace{0.3cm} \Rightarrow \hspace{0.3cm}t_1 = \frac{\rm arccos(-0.8)}{2\pi \cdot f_{\rm N}}\approx \frac{0.795 \cdot \pi}{2\pi \cdot f_{\rm N}} \hspace{0.05cm}.$$
 
:$$ \cos (2\pi \cdot f_{\rm N}\cdot t_1 ) = \frac{-A_{\rm T}}{A_{\rm N}}= -0.8 \hspace{0.3cm} \Rightarrow \hspace{0.3cm}t_1 = \frac{\rm arccos(-0.8)}{2\pi \cdot f_{\rm N}}\approx \frac{0.795 \cdot \pi}{2\pi \cdot f_{\rm N}} \hspace{0.05cm}.$$
*Mit  $f_{\rm N} = 1 \ \rm  kHz$  ergibt sich daraus  $t_1\hspace{0.15cm}\underline {  ≈ 0.4 \ \rm  ms}$.  
+
*When  $f_{\rm N} = 1 \ \rm  kHz$  this gives   $t_1\hspace{0.15cm}\underline {  ≈ 0.4 \ \rm  ms}$.  
*Die zweite Nullstelle ist entsprechend  $t_2\hspace{0.15cm}\underline {  ≈ 0.6 \ \rm  ms}$.
+
*Accordingly, the second zero crossing is   $t_2\hspace{0.15cm}\underline {  ≈ 0.6 \ \rm  ms}$.
  
  
  
  
'''(3)'''  Der Klirrfaktor zweiter Ordnung ist  $K_2 = 0.458/4.48 ≈ 0.102$.   
+
'''(3)'''  The second order is  $K_2 = 0.458/4.48 ≈ 0.102$.   
*Entsprechend gilt für den Klirrfaktor dritter Ordnung:  $K_3 = 0.367/4.48 ≈ 0.082$.  
+
*Correspondingly, the third order distortion factor is:  $K_3 = 0.367/4.48 ≈ 0.082$.  
*Die weiteren Klirrfaktoren sind  $K_4 ≈ 0.058$,  $K_5 ≈ 0.035$  sowie $K_6 ≈ 0.015$.  
+
*The further distortion factors are   $K_4 ≈ 0.058$,  $K_5 ≈ 0.035$  and $K_6 ≈ 0.015$.  
*Damit erhält man für den Gesamtklirrfaktor:
+
*Thus, for the total distortion factor we get:
 
:$$ K = \sqrt{K_2^2 + K_3^2 + K_4^2 + K_5^2 + K_6^2 }\hspace{0.15cm}\underline { \approx 14.8 \%}.$$
 
:$$ K = \sqrt{K_2^2 + K_3^2 + K_4^2 + K_5^2 + K_6^2 }\hspace{0.15cm}\underline { \approx 14.8 \%}.$$
  
  
  
'''(4)'''  Die Verzerrungsleistung ergibt sich aus Mittelung von  $ε_{\rm A}(t)^2$  über eine Periodendauer  $T_0 = 1\ \rm  ms$:
+
'''(4)'''  The distortion power is obtained by averaging   $ε_{\rm A}(t)^2$  over the period   $T_0 = 1\ \rm  ms$:
[[File:EN_Mod_A_2_7_d.png|right|frame|Zur Berechnung der Verzerrungsleistung]]
+
[[File:EN_Mod_A_2_7_d.png|right|frame|Calculating the distortion power]]
 
:$$P_{\varepsilon \rm A} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{t_1}^{\hspace{0.1cm} t_2} {\varepsilon_{\rm A}^2(t) }\hspace{0.1cm}{\rm d}t = \frac{I_{\varepsilon}}{T_{\rm 0}}\hspace{0.05cm}.$$
 
:$$P_{\varepsilon \rm A} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{t_1}^{\hspace{0.1cm} t_2} {\varepsilon_{\rm A}^2(t) }\hspace{0.1cm}{\rm d}t = \frac{I_{\varepsilon}}{T_{\rm 0}}\hspace{0.05cm}.$$
*Hierbei ist berücksichtigt, dass das Fehlersignal  $ε_{\rm A}(t)$  außerhalb des Intervalls von  $t_1$  und  $t_2$  gleich Null ist.
+
*This takes into account that the error signal   $ε_{\rm A}(t)$  is equal to zero outside of the interval from  $t_1$  to  $t_2$ .
  
*Wie aus der Skizze hervorgeht, ist  $I_ε$  doppelt so groß als das Integral  $I_γ$  der Hilfsgröße  $γ$  im Intervall von Null bis  $t_3 = (t_2 – t_1)/2 ≈ 0.1 \ \rm ms$:
+
*As seen from the graph,   $I_ε$  is twice as large as the integral   $I_γ$  of the auxiliary quantity e  $γ$  in the interval from zero to   $t_3 = (t_2 – t_1)/2 ≈ 0.1 \ \rm ms$:
 
:$$I_{\gamma} = \int_{0}^{\hspace{0.1cm} t_3} {\gamma^2(t) }\hspace{0.1cm}{\rm d}t  \hspace{0.5cm}{\rm mit}\hspace{0.5cm} \gamma(t) = 2 \cdot \left( A_{\rm N} \cdot \cos (\omega_{\rm N}\cdot t ) - A_{\rm T}\right)\hspace{0.05cm}.$$
 
:$$I_{\gamma} = \int_{0}^{\hspace{0.1cm} t_3} {\gamma^2(t) }\hspace{0.1cm}{\rm d}t  \hspace{0.5cm}{\rm mit}\hspace{0.5cm} \gamma(t) = 2 \cdot \left( A_{\rm N} \cdot \cos (\omega_{\rm N}\cdot t ) - A_{\rm T}\right)\hspace{0.05cm}.$$
*Eine Nebenrechnung liefert  $I_{\gamma} = 4 \cdot \left( I_1 + I_2 + I_3 \right)$  mit
+
*An additional calculation yields   $I_{\gamma} = 4 \cdot \left( I_1 + I_2 + I_3 \right)$  mit
 
:$$I_1  =  A_{\rm N}^2 \cdot \int_{0}^{\hspace{0.1cm} t_3} {\cos^2 (\omega_{\rm N}\cdot t ) }\hspace{0.1cm}{\rm d}t = A_{\rm N}^2 \cdot \left[ \frac{t_3}{2} + \frac{\sin (2 \omega_{\rm N}\cdot t_3 )}{4 \omega_{\rm N}} \right] =  25\,{\rm V}^2 \cdot \left[ 0.05\,{\rm ms} + 0.0378\,{\rm ms} \right] = 2.196 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm},$$
 
:$$I_1  =  A_{\rm N}^2 \cdot \int_{0}^{\hspace{0.1cm} t_3} {\cos^2 (\omega_{\rm N}\cdot t ) }\hspace{0.1cm}{\rm d}t = A_{\rm N}^2 \cdot \left[ \frac{t_3}{2} + \frac{\sin (2 \omega_{\rm N}\cdot t_3 )}{4 \omega_{\rm N}} \right] =  25\,{\rm V}^2 \cdot \left[ 0.05\,{\rm ms} + 0.0378\,{\rm ms} \right] = 2.196 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm},$$
 
:$$ I_2  =  - 2 \cdot A_{\rm N}\cdot A_{\rm T} \cdot \int_{0}^{\hspace{0.1cm} t_3} \hspace{-0.2cm}{\cos (\omega_{\rm N}\cdot t ) }\hspace{0.1cm}{\rm d}t = - 2 \cdot A_{\rm N}\cdot A_{\rm T} \cdot \frac{\sin (\omega_{\rm N}\cdot t_3 )}{\omega_{\rm N}} =  - 2 \cdot 5\,{\rm V} \cdot 4\,{\rm V}\cdot 0.0935\,{\rm ms} = -3.742 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm},$$
 
:$$ I_2  =  - 2 \cdot A_{\rm N}\cdot A_{\rm T} \cdot \int_{0}^{\hspace{0.1cm} t_3} \hspace{-0.2cm}{\cos (\omega_{\rm N}\cdot t ) }\hspace{0.1cm}{\rm d}t = - 2 \cdot A_{\rm N}\cdot A_{\rm T} \cdot \frac{\sin (\omega_{\rm N}\cdot t_3 )}{\omega_{\rm N}} =  - 2 \cdot 5\,{\rm V} \cdot 4\,{\rm V}\cdot 0.0935\,{\rm ms} = -3.742 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm},$$
 
:$$ I_3 = A_{\rm T}^2 \cdot \int_{0}^{\hspace{0.1cm} t_3} {}\hspace{0.1cm}{\rm d}t = A_{\rm T}^2 \cdot {t_3} = 1.6 \cdot 10^{-3}\,{\rm V^2 s}$$
 
:$$ I_3 = A_{\rm T}^2 \cdot \int_{0}^{\hspace{0.1cm} t_3} {}\hspace{0.1cm}{\rm d}t = A_{\rm T}^2 \cdot {t_3} = 1.6 \cdot 10^{-3}\,{\rm V^2 s}$$
 
:$$\Rightarrow \hspace{0.3cm}I_{\gamma} = 0.216 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.3cm}\Rightarrow \hspace{0.3cm}I_{\varepsilon} = 2 \cdot I_{\gamma} =0.432 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm}.$$
 
:$$\Rightarrow \hspace{0.3cm}I_{\gamma} = 0.216 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.3cm}\Rightarrow \hspace{0.3cm}I_{\varepsilon} = 2 \cdot I_{\gamma} =0.432 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm}.$$
*Somit erhält man als Endergebnis:  
+
*Thus, the final result is obtained as:  
 
:$$P_{\varepsilon \rm A} = {I_{\varepsilon}}/{T_{\rm 0}}\hspace{0.15cm}\underline {=0.432 \,{\rm V^2 }}\hspace{0.05cm}.$$
 
:$$P_{\varepsilon \rm A} = {I_{\varepsilon}}/{T_{\rm 0}}\hspace{0.15cm}\underline {=0.432 \,{\rm V^2 }}\hspace{0.05cm}.$$
  
  
'''(5)'''  Die beiden Sinkensignale  $v_{\rm A}(t)$  und  $v_{\rm B}(t)$  unterscheiden sich ebenso wie die beiden Fehlersignale  $ε_{\rm A}(t)$  und  $ε_{\rm B}(t)$  um den Gleichanteil  $A_0$.  Deshalb gilt:
+
'''(5)'''  The two sink signals   $v_{\rm A}(t)$  and  $v_{\rm B}(t)$  differ by the DC component   $A_0$ , as do the two error signals   $ε_{\rm A}(t)$  and  $ε_{\rm B}(t)$ . Therefore:
 
:$$ P_{\varepsilon \rm B} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm B}^2(t) }\hspace{0.1cm}{\rm d}t = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\left[\varepsilon_{\rm A}(t) - A_0 \right]^2}\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
 
:$$ P_{\varepsilon \rm B} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm B}^2(t) }\hspace{0.1cm}{\rm d}t = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\left[\varepsilon_{\rm A}(t) - A_0 \right]^2}\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
*Hierfür kann auch geschrieben werden:
+
*This can also be written as:
 
:$$P_{1}  =  \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm A}^2(t) }\hspace{0.1cm}{\rm d}t = P_{\varepsilon \rm A} \hspace{0.05cm},\hspace{0.3cm}
 
:$$P_{1}  =  \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm A}^2(t) }\hspace{0.1cm}{\rm d}t = P_{\varepsilon \rm A} \hspace{0.05cm},\hspace{0.3cm}
 
P_{2}  =  - 2 A_0 \cdot \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm A}(t) }\hspace{0.1cm}{\rm d}t = - 2 A_0^2 \hspace{0.05cm},\hspace{0.3cm}  
 
P_{2}  =  - 2 A_0 \cdot \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm A}(t) }\hspace{0.1cm}{\rm d}t = - 2 A_0^2 \hspace{0.05cm},\hspace{0.3cm}  
 
P_{3}  =  A_0^2 \cdot \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} { }\hspace{0.1cm}{\rm d}t = A_0^2 \hspace{0.05cm}.$$
 
P_{3}  =  A_0^2 \cdot \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} { }\hspace{0.1cm}{\rm d}t = A_0^2 \hspace{0.05cm}.$$
*Damit ergibt sich für den quadratischen Mittelwert des Fehlersignals  $ε_{\rm B}(t)$:
+
*This gives the root mean square value of the error signal  $ε_{\rm B}(t)$:
 
:$$P_{\varepsilon \rm B} = P_{\varepsilon \rm A}- A_0^2 = 0.432\,{\rm V}^2 - (0.272\,{\rm V})^2 \hspace{0.15cm}\underline {= 0.358\,{\rm V}^2} \hspace{0.05cm}.$$
 
:$$P_{\varepsilon \rm B} = P_{\varepsilon \rm A}- A_0^2 = 0.432\,{\rm V}^2 - (0.272\,{\rm V})^2 \hspace{0.15cm}\underline {= 0.358\,{\rm V}^2} \hspace{0.05cm}.$$
*Ein ähnliches Ergebnis hätte man auch nach folgendem Rechengang erhalten:
+
*A similar result would have been obtained from the following calculation:
 
:$$ P_{\varepsilon \rm B} = \frac{1\,{\rm V}^2}{2} \cdot \left[ (5 - 4.48)^2 + 0.458^2 + 0.367^2 + ... + 0.066^2 \right] \approx 0.356\,{\rm V}^2 \hspace{0.05cm}.$$
 
:$$ P_{\varepsilon \rm B} = \frac{1\,{\rm V}^2}{2} \cdot \left[ (5 - 4.48)^2 + 0.458^2 + 0.367^2 + ... + 0.066^2 \right] \approx 0.356\,{\rm V}^2 \hspace{0.05cm}.$$
*Der geringe Unterschied in beiden Rechengängen ist darauf zurückzuführen, dass die Fourierkoeffizienten  $A_7$,  $A_8$,  ... zwar sehr klein sind, aber nicht Null.
+
*The small difference in both calculation processes is due to the fact that the Fourier coefficients   $A_7$,  $A_8$,  ..., are very small, but not zero.
  
  
  
'''(6)'''  Die Leistung des Quellensignals  $q(t)$  beträgt  $P_q = A_{\rm N}^2/2 = 12.5 V^2$.  Daraus ergeben sich die beiden S/N–Verhältnisse:
+
'''(6)'''  The power of the source signal   $q(t)$  is   $P_q = A_{\rm N}^2/2 = 12.5 V^2$.  This gives the two S/N ratios:
 
:$$\rho_{v {\rm A}} = \frac{P_{q}}{P_{\varepsilon \rm A}} \hspace{0.15cm}\underline {= 28.94} \hspace{0.05cm}, \hspace{0.3cm} \rho_{v {\rm B}} = \frac{P_{q}}{P_{\varepsilon \rm B}}\hspace{0.15cm}\underline { = 34.92} \hspace{0.05cm}.$$
 
:$$\rho_{v {\rm A}} = \frac{P_{q}}{P_{\varepsilon \rm A}} \hspace{0.15cm}\underline {= 28.94} \hspace{0.05cm}, \hspace{0.3cm} \rho_{v {\rm B}} = \frac{P_{q}}{P_{\varepsilon \rm B}}\hspace{0.15cm}\underline { = 34.92} \hspace{0.05cm}.$$
*Dies zeigt, dass der Hüllkurvendemodular  $\rm B$  (mit Hochpass) um etwa  $6 \ \rm dB$  besser ist als der Demodulator  $\rm A$  (mit Subtraktion).
+
*This shows that the envelope demodulator   $\rm B$  (using a high-pass) is better than the demodulator   $\rm A$  (using subtraction) by about   $6 \ \rm dB$ .
 
+
*It should also be noted that the approximation   $ρ_v = α_2 · P_q/K^2$  would here lead to the distorted numerical value   $ρ_v = 36.66$ .
*Anzumerken ist ferner, dass die Näherung  $ρ_v = α_2 · P_q/K^2$  hier zum verfälschten Zahlenwert  $ρ_v = 36.66$  führen würde.  
+
*This different result is justified in detail on the page "The distortion factor" in the book "Linear and Time Invariant systems", based exactly on the assumptions made for the task at hand.
*Dieses unterschiedliche Ergebnis wird auf der Seite  "Der Klirrfaktor"  im Buch  „Lineare zeitinvariante Systeme”  ausführlich begründet, wobei genau die für die vorliegende Aufgabe getroffenen Voraussetzungen zugrunde gelegt sind.
 
  
  

Revision as of 20:21, 20 December 2021

Signal waveforms for "DSB–AM with carrier"

The cosine-shaped source signal  $q(t)$  with amplitude  $A_{\rm N} = 5\ \rm V$  and frequency  $f_{\rm N} = 1 \ \rm kHz$  is   $\rm (DSB)$ amplitude modulated.  Assuming an ideal channel, the received signal is given by:

$$r(t) = s(t) =\left(q(t) + A_{\rm T}\right) \cdot \cos (2\pi \cdot f_{\rm T}\cdot t )\hspace{0.05cm}.$$

Thus, we are dealing with "DSB–AM with carrier”.

In the graph, besides the source signal  $q(t)$ , and the received signal  $r(t)$ including its envelope  $a(t)$ , we can also see the sink signal  $v(t)$  and error signal

$$ \varepsilon(t) = v(t) - q(t).$$

The sink signal drawn in red,

$$v_{\rm A}(t) = a(t) - A_{\rm T}$$

belongs to an envelope demodulator, where exactly the carrier added at the transmitter  $(A_{\rm T})$  is subtracted from the envelope  $a(t)$ .

This signal  $v_{\rm A}(t)$  contains a DC component just like the corresponding error signal  $ε_{\rm A}(t)$ .  Due to the periodicity, it can be approximated by the following Fourier Series:

$$v_{\rm A}(t) = A_0 + \sum_{n=1}^{6} A_i \cdot \cos (n \cdot \omega_{\rm N}\cdot t ), \hspace{0.3cm}{\rm with}$$
$$A_0 = 0.272\,{\rm V},\hspace{0.3cm}A_1 = 4.480\,{\rm V},\hspace{0.3cm}A_2 = 0.458\,{\rm V},\hspace{0.3cm}A_3 = -0.367\,{\rm V},\hspace{0.3cm}$$
$$A_4 = 0.260\,{\rm V},\hspace{0.3cm}A_5 = -0.155\,{\rm V},\hspace{0.3cm}A_6 = 0.066\,{\rm V}\hspace{0.05cm}.$$

If the DC component is instead removed using an ideal high-pass filter, this would result in the DC-free signals

$$ v_{\rm B}(t) = \sum_{n=1}^{6} A_i \cdot \cos (n \cdot \omega_{\rm N}\cdot t ),\hspace{0.5cm}\varepsilon_{\rm B}(t) = v_{\rm B}(t) - q(t) = a(t) - A_{\rm T} - A_0 \hspace{0.05cm}.$$




Hints:

  • To solve these problems, the following indefinite integrals are given:
$$ \int { \cos (a x )}\hspace{0.1cm}{\rm d}x =\frac{1}{a} \cdot \sin (a x ), \hspace{0.5cm} \int { \cos^2 (a x )}\hspace{0.1cm}{\rm d}x = \frac{x}{2} +\frac{1}{4a} \cdot \sin (2a x ).$$
  • The distortion factors are calculated according to the formulas:
$$K_2 = {A_2}/{A_1}, \hspace{0.3cm} K_3 = {A_3}/{A_1}, \hspace{0.1cm} \text{...} \hspace{0.5cm} \Rightarrow \hspace{0.5cm}K = \sqrt{K_2^2 +K_3^2 + \text{...}}\hspace{0.1cm} .$$


Questions

1

What is the modulation depth  $m$  of the DSB–AM?

$m \ = \ $

2

At which times $t_1$  and  $t_2$  (see graph) does the envelope first become  $a(t)$ ?

$t_1 \ = \ $

$\ \rm ms$
$t_2 \ = \ $

$\ \rm ms$

3

Calculate the distortion factors  $K_2$, ... ,  $K_6$ as well as the total harmonic distortion  $K$.

$K \ = \ $

$\text{%}$

4

Calculate the power  $P_{ε{\rm A}} = Ε\big [ε_{\rm A}^2(t)\big ]$  for the red error signal  $ε_{\rm A}(t)$.

$P_{ε{\rm A}} \ = \ $

$\ \rm V^2$

5

Calculate the power $P_{ε{\rm B}} = Ε\big [ε_{\rm B}^2(t)\big ]$  for the green error signal  $ε_{\rm B}(t)$.

$P_{ε{\rm B}} \ = \ $

$\ \rm V^2$

6

Calculate the corresponding sink SNR for both demodulators  $ρ_v = P_q/P_ε$.

$ρ_{v{\rm A}} \ = \ $

$ρ_{v{\rm B}} \ = \ $


Solution

(1)  From the graph we can see that   $A_{\rm T} = 4\ \rm V$.  With $A_{\rm N} = 5\ \rm V$ this results in the modulation depth

$$m = A_{\rm N}/A_{\rm T}\hspace{0.15cm}\underline { = 1.25}.$$


(2)  From the condition  $a(t) = q(t) + A_{\rm T} = 0$  it follows directly for the first zero crossing:

$$ \cos (2\pi \cdot f_{\rm N}\cdot t_1 ) = \frac{-A_{\rm T}}{A_{\rm N}}= -0.8 \hspace{0.3cm} \Rightarrow \hspace{0.3cm}t_1 = \frac{\rm arccos(-0.8)}{2\pi \cdot f_{\rm N}}\approx \frac{0.795 \cdot \pi}{2\pi \cdot f_{\rm N}} \hspace{0.05cm}.$$
  • When  $f_{\rm N} = 1 \ \rm kHz$  this gives   $t_1\hspace{0.15cm}\underline { ≈ 0.4 \ \rm ms}$.
  • Accordingly, the second zero crossing is   $t_2\hspace{0.15cm}\underline { ≈ 0.6 \ \rm ms}$.



(3)  The second order is  $K_2 = 0.458/4.48 ≈ 0.102$. 

  • Correspondingly, the third order distortion factor is:  $K_3 = 0.367/4.48 ≈ 0.082$.
  • The further distortion factors are   $K_4 ≈ 0.058$,  $K_5 ≈ 0.035$  and $K_6 ≈ 0.015$.
  • Thus, for the total distortion factor we get:
$$ K = \sqrt{K_2^2 + K_3^2 + K_4^2 + K_5^2 + K_6^2 }\hspace{0.15cm}\underline { \approx 14.8 \%}.$$


(4)  The distortion power is obtained by averaging   $ε_{\rm A}(t)^2$  over the period   $T_0 = 1\ \rm ms$:

Calculating the distortion power
$$P_{\varepsilon \rm A} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{t_1}^{\hspace{0.1cm} t_2} {\varepsilon_{\rm A}^2(t) }\hspace{0.1cm}{\rm d}t = \frac{I_{\varepsilon}}{T_{\rm 0}}\hspace{0.05cm}.$$
  • This takes into account that the error signal   $ε_{\rm A}(t)$  is equal to zero outside of the interval from  $t_1$  to  $t_2$ .
  • As seen from the graph,   $I_ε$  is twice as large as the integral   $I_γ$  of the auxiliary quantity e  $γ$  in the interval from zero to   $t_3 = (t_2 – t_1)/2 ≈ 0.1 \ \rm ms$:
$$I_{\gamma} = \int_{0}^{\hspace{0.1cm} t_3} {\gamma^2(t) }\hspace{0.1cm}{\rm d}t \hspace{0.5cm}{\rm mit}\hspace{0.5cm} \gamma(t) = 2 \cdot \left( A_{\rm N} \cdot \cos (\omega_{\rm N}\cdot t ) - A_{\rm T}\right)\hspace{0.05cm}.$$
  • An additional calculation yields   $I_{\gamma} = 4 \cdot \left( I_1 + I_2 + I_3 \right)$  mit
$$I_1 = A_{\rm N}^2 \cdot \int_{0}^{\hspace{0.1cm} t_3} {\cos^2 (\omega_{\rm N}\cdot t ) }\hspace{0.1cm}{\rm d}t = A_{\rm N}^2 \cdot \left[ \frac{t_3}{2} + \frac{\sin (2 \omega_{\rm N}\cdot t_3 )}{4 \omega_{\rm N}} \right] = 25\,{\rm V}^2 \cdot \left[ 0.05\,{\rm ms} + 0.0378\,{\rm ms} \right] = 2.196 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm},$$
$$ I_2 = - 2 \cdot A_{\rm N}\cdot A_{\rm T} \cdot \int_{0}^{\hspace{0.1cm} t_3} \hspace{-0.2cm}{\cos (\omega_{\rm N}\cdot t ) }\hspace{0.1cm}{\rm d}t = - 2 \cdot A_{\rm N}\cdot A_{\rm T} \cdot \frac{\sin (\omega_{\rm N}\cdot t_3 )}{\omega_{\rm N}} = - 2 \cdot 5\,{\rm V} \cdot 4\,{\rm V}\cdot 0.0935\,{\rm ms} = -3.742 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm},$$
$$ I_3 = A_{\rm T}^2 \cdot \int_{0}^{\hspace{0.1cm} t_3} {}\hspace{0.1cm}{\rm d}t = A_{\rm T}^2 \cdot {t_3} = 1.6 \cdot 10^{-3}\,{\rm V^2 s}$$
$$\Rightarrow \hspace{0.3cm}I_{\gamma} = 0.216 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.3cm}\Rightarrow \hspace{0.3cm}I_{\varepsilon} = 2 \cdot I_{\gamma} =0.432 \cdot 10^{-3}\,{\rm V^2 s} \hspace{0.05cm}.$$
  • Thus, the final result is obtained as:  
$$P_{\varepsilon \rm A} = {I_{\varepsilon}}/{T_{\rm 0}}\hspace{0.15cm}\underline {=0.432 \,{\rm V^2 }}\hspace{0.05cm}.$$


(5)  The two sink signals   $v_{\rm A}(t)$  and  $v_{\rm B}(t)$  differ by the DC component   $A_0$ , as do the two error signals   $ε_{\rm A}(t)$  and  $ε_{\rm B}(t)$ . Therefore:

$$ P_{\varepsilon \rm B} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm B}^2(t) }\hspace{0.1cm}{\rm d}t = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\left[\varepsilon_{\rm A}(t) - A_0 \right]^2}\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
  • This can also be written as:
$$P_{1} = \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm A}^2(t) }\hspace{0.1cm}{\rm d}t = P_{\varepsilon \rm A} \hspace{0.05cm},\hspace{0.3cm} P_{2} = - 2 A_0 \cdot \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} {\varepsilon_{\rm A}(t) }\hspace{0.1cm}{\rm d}t = - 2 A_0^2 \hspace{0.05cm},\hspace{0.3cm} P_{3} = A_0^2 \cdot \frac{1}{T_{\rm 0}}\hspace{0.05cm} \cdot \int_{0}^{T_0} { }\hspace{0.1cm}{\rm d}t = A_0^2 \hspace{0.05cm}.$$
  • This gives the root mean square value of the error signal  $ε_{\rm B}(t)$:
$$P_{\varepsilon \rm B} = P_{\varepsilon \rm A}- A_0^2 = 0.432\,{\rm V}^2 - (0.272\,{\rm V})^2 \hspace{0.15cm}\underline {= 0.358\,{\rm V}^2} \hspace{0.05cm}.$$
  • A similar result would have been obtained from the following calculation:
$$ P_{\varepsilon \rm B} = \frac{1\,{\rm V}^2}{2} \cdot \left[ (5 - 4.48)^2 + 0.458^2 + 0.367^2 + ... + 0.066^2 \right] \approx 0.356\,{\rm V}^2 \hspace{0.05cm}.$$
  • The small difference in both calculation processes is due to the fact that the Fourier coefficients   $A_7$,  $A_8$,  ..., are very small, but not zero.


(6)  The power of the source signal   $q(t)$  is   $P_q = A_{\rm N}^2/2 = 12.5 V^2$.  This gives the two S/N ratios:

$$\rho_{v {\rm A}} = \frac{P_{q}}{P_{\varepsilon \rm A}} \hspace{0.15cm}\underline {= 28.94} \hspace{0.05cm}, \hspace{0.3cm} \rho_{v {\rm B}} = \frac{P_{q}}{P_{\varepsilon \rm B}}\hspace{0.15cm}\underline { = 34.92} \hspace{0.05cm}.$$
  • This shows that the envelope demodulator   $\rm B$  (using a high-pass) is better than the demodulator   $\rm A$  (using subtraction) by about   $6 \ \rm dB$ .
  • It should also be noted that the approximation   $ρ_v = α_2 · P_q/K^2$  would here lead to the distorted numerical value   $ρ_v = 36.66$ .
  • This different result is justified in detail on the page "The distortion factor" in the book "Linear and Time Invariant systems", based exactly on the assumptions made for the task at hand.