Difference between revisions of "Aufgaben:Exercise 1.2Z: Linear Distorting System"

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[[File:P_ID957__Mod_Z_1_2.png|right|frame|Deriving the distortions for square wave signals]]
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[[File:P_ID957__Mod_Z_1_2.png|right|frame|Distortions for square wave signals]]
The modulator, the channel, and the demodulator of a communication system can be represented by a single linear system with a frequency response of
+
Modulator,  channel,  and demodulator of a communication system can be represented by a single linear system with frequency response  
:$$ H(f) = {\rm si }( \pi \cdot f \cdot \Delta t)$$
+
:$$ H(f) = {\rm si }( \pi \cdot f \cdot \Delta t)= {\rm sinc }(f \cdot \Delta t)$$
The corresponding impulse response is rectangular, symmetrical about  $t = 0$  and has height  $1/Δt$  and (equivalent) duration  $Δt$ :
+
The corresponding impulse response is rectangular,  symmetrical about  $t = 0$  and has height  $1/Δt$  and (equivalent) duration  $Δt$ :
 
:$$ h(t) = \left\{ \begin{array}{c} 1/\Delta t \\ 1/(2\Delta t) \\ 0 \\ \end{array} \right. \begin{array}{*{4}c} {\rm{for}} \\ {\rm{for}} \\ {\rm{for}} \\ \end{array}\begin{array}{*{20}c} {\left| \hspace{0.005cm} t\hspace{0.05cm} \right| < \Delta t/2,} \\ {\left| \hspace{0.005cm}t\hspace{0.05cm} \right| = \Delta t/2,} \\ {\left|\hspace{0.005cm} t \hspace{0.05cm} \right| > \Delta t/2.} \\ \end{array}$$
 
:$$ h(t) = \left\{ \begin{array}{c} 1/\Delta t \\ 1/(2\Delta t) \\ 0 \\ \end{array} \right. \begin{array}{*{4}c} {\rm{for}} \\ {\rm{for}} \\ {\rm{for}} \\ \end{array}\begin{array}{*{20}c} {\left| \hspace{0.005cm} t\hspace{0.05cm} \right| < \Delta t/2,} \\ {\left| \hspace{0.005cm}t\hspace{0.05cm} \right| = \Delta t/2,} \\ {\left|\hspace{0.005cm} t \hspace{0.05cm} \right| > \Delta t/2.} \\ \end{array}$$
  
This is a slit low-pass filter, as discussed in the chapter &nbsp;[[Linear_and_Time_Invariant_Systems/Einige_systemtheoretische_Tiefpassfunktionen|Some Low-Pass Functions in Systems Theory]]&nbsp; in the book „Linear and Time Invariant Systems”.
+
This is a rectangular-in-time low-pass filter,&nbsp; as discussed in the chapter &nbsp;[[Linear_and_Time_Invariant_Systems/Some_Low-Pass_Functions_in_Systems_Theory#Slit_low-pass_filter_.E2.80.93_Rectangular-in-time|Some Low-Pass Functions in Systems Theory]]&nbsp; in the book "Linear and Time Invariant Systems".
  
 
The periodic square wave signal &nbsp;$q(t)$&nbsp; of period &nbsp;$T_0$&nbsp; is applied at the system input.&nbsp; Thus, the duration of each rectangle and each gap is &nbsp;$T_0/2$.&nbsp; The height of the rectangles is &nbsp;$2\ \rm V$.
 
The periodic square wave signal &nbsp;$q(t)$&nbsp; of period &nbsp;$T_0$&nbsp; is applied at the system input.&nbsp; Thus, the duration of each rectangle and each gap is &nbsp;$T_0/2$.&nbsp; The height of the rectangles is &nbsp;$2\ \rm V$.
  
The signal &nbsp;$v(t)$&nbsp; at the system output is called the sink signal.&nbsp; This is represented in the graph for two different parameter values with equivalent pulse duration (red waveforms):
+
The signal &nbsp;$v(t)$&nbsp; at the system output is called the sink signal.&nbsp; This is represented in the graph for two different parameter values for the equivalent pulse duration (red waveforms):
 
* The signal &nbsp;$v_1(t)$&nbsp; results when the equivalent pulse duration of &nbsp;$h(t)$&nbsp; is exactly &nbsp;$Δt_1$&nbsp;.
 
* The signal &nbsp;$v_1(t)$&nbsp; results when the equivalent pulse duration of &nbsp;$h(t)$&nbsp; is exactly &nbsp;$Δt_1$&nbsp;.
 
* Accordingly, the signal &nbsp;$v_2(t)$&nbsp; is obtained with the equivalent pulse duration of &nbsp;$Δt_2$.
 
* Accordingly, the signal &nbsp;$v_2(t)$&nbsp; is obtained with the equivalent pulse duration of &nbsp;$Δt_2$.
  
  
The change from the square wave signal &nbsp;$q(t)$&nbsp; to the triangular or trapezoidal sink signal &nbsp;$v(t)$&nbsp; is due to linear distortions and is captured by the error signal &nbsp;$ε(t) = v(t) - q(t)$&nbsp;.
+
The change from the square wave signal &nbsp;$q(t)$&nbsp; to the triangular or trapezoidal sink signal &nbsp;$v(t)$&nbsp; is due to linear distortions and is captured by the error signal &nbsp;
 +
:$$ε(t) = v(t) - q(t).$$  
  
Using the signal powers  &nbsp;$P_q$&nbsp; and &nbsp;$P_ε$&nbsp; of &nbsp;$q(t)$&nbsp; and &nbsp;$ε(t)$&nbsp;, respectively, the sink SNR can be calculated:
+
Using the signal powers  &nbsp;$P_q$&nbsp; and &nbsp;$P_ε$&nbsp; of &nbsp;$q(t)$&nbsp; and &nbsp;$ε(t)$,&nbsp; respectively, the sink SNR can be calculated:
  
 
:$$\rho_{v} =P_{q}/{P_{\varepsilon }} \hspace{0.05cm}.$$
 
:$$\rho_{v} =P_{q}/{P_{\varepsilon }} \hspace{0.05cm}.$$
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+
Hints:  
 
+
*This exercise belongs to the chapter&nbsp; [[Modulation_Methods/Quality_Criteria|Quality Criteria]].&nbsp; Particular reference is made to the page  &nbsp;[[Modulation_Methods/Quality_Criteria#Signal.E2.80.93to.E2.80.93noise_.28power.29_ratio|Signal–to–noise (power) ratio]] and to the chapter &nbsp;[[Linear_and_Time_Invariant_Systems/Linear_Distortions|Linear Distortions]]&nbsp; in the book&nbsp; "Linear and Time Invarian Systems".
 
 
 
 
''Hints:''
 
*This exercise belongs to the chapter&nbsp; [[Modulation_Methods/Qualitätskriterien|Quality Criteria]].&nbsp; Particular reference is made to the page  &nbsp;[[Modulation_Methods/Qualitätskriterien#Signal.E2.80.93zu.E2.80.93St.C3.B6r.E2.80.93Leistungsverh.C3.A4ltnis|Signal–to–noise (power) ratio]] and to the chapter &nbsp;[[Linear_and_Time_Invariant_Systems/Lineare_Verzerrungen|Linear Distortions]] im Buch "Linear and Time Invarian Systems".
 
 
*The powers &nbsp;$P_q$&nbsp; and &nbsp;$P_ε$&nbsp; are the root mean square values of the signals &nbsp;$q(t)$&nbsp; and &nbsp;$ε(t)$&nbsp; and can be determined for periodic signals with period duration &nbsp;$T_0$&nbsp; as follows:
 
*The powers &nbsp;$P_q$&nbsp; and &nbsp;$P_ε$&nbsp; are the root mean square values of the signals &nbsp;$q(t)$&nbsp; and &nbsp;$ε(t)$&nbsp; and can be determined for periodic signals with period duration &nbsp;$T_0$&nbsp; as follows:
 
:$$P_{q} = \overline{q(t)^2} = \frac{1}{T_{\rm 0}} \cdot \int_{0}^{ T_{\rm 0}} {q(t)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}, \hspace{0.5cm} P_{\varepsilon} = \overline{\varepsilon(t)^2} = \frac{1}{T_{\rm 0}} \cdot \int_{0}^{ T_{\rm 0}} {\varepsilon(t)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
 
:$$P_{q} = \overline{q(t)^2} = \frac{1}{T_{\rm 0}} \cdot \int_{0}^{ T_{\rm 0}} {q(t)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}, \hspace{0.5cm} P_{\varepsilon} = \overline{\varepsilon(t)^2} = \frac{1}{T_{\rm 0}} \cdot \int_{0}^{ T_{\rm 0}} {\varepsilon(t)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
*Specifying the powers in &nbsp;$\rm V^2$&nbsp;, means that the signals refer to a resistance of &nbsp;$R = 1\ \rm \Omega$&nbsp;.
+
*Specifying the powers in &nbsp;$\rm V^2$,&nbsp; means that the signals refer to a resistance of &nbsp;$R = 1\ \rm \Omega$&nbsp;.
   
+
*For abbreviation we define the following functions:
 +
#&nbsp;$\text{sinc&ndash;function}$&nbsp; (predominantly used in Anglo-American literature) &nbsp; &nbsp; &rArr; &nbsp; &nbsp; ${\rm sinc}( x ) =  {\sin  (\pi  x) }/(\pi  x ),$
 +
#&nbsp;$\text{si&ndash;function}$&nbsp; or $\text{splitting function}$ &nbsp;(predominantly used in German literature) &nbsp; &nbsp; &rArr; &nbsp; &nbsp; ${\rm si}\left( x \right) = \sin \left( x \right)/x = {\rm sinc}(x/\pi ).$  
  
  
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<quiz display=simple>
 
<quiz display=simple>
{How long is the equivalent pulse duration &nbsp;$Δt_1$&nbsp; within the signal &nbsp;$v_1(t)$, relative to the period &nbsp; $T_0$?
+
{How long is the equivalent pulse duration &nbsp;$Δt_1$&nbsp; within the signal &nbsp;$v_1(t)$,&nbsp; relative to the period &nbsp; $T_0$?
 
|type="{}"}
 
|type="{}"}
 
$Δt_1/T_0 \ = \ $ { 0.5 3% }
 
$Δt_1/T_0 \ = \ $ { 0.5 3% }
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$ε_\text{1, max} \ = \ $ { 1 3% } $\ \rm V$
 
$ε_\text{1, max} \ = \ $ { 1 3% } $\ \rm V$
  
{What is the "power" &nbsp;$P_{ε1}$&nbsp; of the error signal, i.e., the mean square deviation between &nbsp;$v_1(t)$&nbsp; and &nbsp;$q(t)$?
+
{What is the "power" &nbsp;$P_{ε1}$&nbsp; of the error signal,&nbsp; i.e.,&nbsp; the mean square deviation between &nbsp;$v_1(t)$&nbsp; and &nbsp;$q(t)$?
 
|type="{}"}
 
|type="{}"}
 
$P_{ε1} \ = \ $ { 0.333 3% } $\ \rm V^2$
 
$P_{ε1} \ = \ $ { 0.333 3% } $\ \rm V^2$
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$ρ_{v1} \ = \ $ { 6 3% }
 
$ρ_{v1} \ = \ $ { 6 3% }
  
{How long is the equivalent pulse duration &nbsp;$Δt_2$&nbsp; within the signal &nbsp;$v_2(t)$, relative to the period &nbsp;$T_0$?
+
{How long is the equivalent pulse duration &nbsp;$Δt_2$&nbsp; within the signal &nbsp;$v_2(t)$,&nbsp; relative to the period &nbsp;$T_0$?
 
|type="{}"}
 
|type="{}"}
 
$Δt_2/T_0 \ = \ $  { 0.25 3% }  
 
$Δt_2/T_0 \ = \ $  { 0.25 3% }  
  
{Determine the error signal &nbsp;$ε_2(t) = v_2(t) - q(t)$, the distortion power &nbsp;$P_{ε2}$&nbsp; and the sink SNR &nbsp;$ρ_{v2}$.
+
{Determine the error signal &nbsp;$ε_2(t) = v_2(t) - q(t)$,&nbsp; the distortion power &nbsp;$P_{ε2}$&nbsp; and the sink SNR &nbsp;$ρ_{v2}$.
 
|type="{}"}
 
|type="{}"}
 
$P_{ε2} \ = \ $ { 0.167 3% } $\ \rm V^2$
 
$P_{ε2} \ = \ $ { 0.167 3% } $\ \rm V^2$
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===Solution===
 
===Solution===
 
{{ML-Kopf}}
 
{{ML-Kopf}}
'''(1)''' &nbsp; In general, Convolution of the periodic rectangular signal &nbsp; $q(t)$&nbsp; with the similarly rectangular impulse response&nbsp; $h(t)$&nbsp; only yields a triangular signal &nbsp; $v(t)$, only if the rectangles involved have equal width. It follows:
+
'''(1)''' &nbsp; In general,&nbsp; convolution of the periodic rectangular signal &nbsp; $q(t)$&nbsp; with the similarly rectangular impulse response&nbsp; $h(t)$&nbsp; yields a triangular signal &nbsp; $v(t)$,&nbsp; only if the rectangles involved have equal width.&nbsp; It follows:
 
:$$\Delta t_1 = T_0 /2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \Delta t_1 / T_0\hspace{0.15cm}\underline {= 0.5} \hspace{0.05cm}.$$
 
:$$\Delta t_1 = T_0 /2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \Delta t_1 / T_0\hspace{0.15cm}\underline {= 0.5} \hspace{0.05cm}.$$
  
 
+
[[File:P_ID958__Mod_Z_1_2_b.png|right|frame|Error signals for the two receive filters of different widths]]
 
 
[[File:P_ID958__Mod_Z_1_2_b.png|right|frame|Fehlersignale bei den beiden betrachteten Empfangsfiltern unterschiedlicher Breite]]
 
 
'''(2)''' &nbsp; The error signal &nbsp; $ε_1(t)$&nbsp; is shown in the adjacent graph.&nbsp; It can be seen that&nbsp; $ε_1(t)$&nbsp;can assume all values in the range &nbsp; $±1 \ \rm V$&nbsp;:
 
'''(2)''' &nbsp; The error signal &nbsp; $ε_1(t)$&nbsp; is shown in the adjacent graph.&nbsp; It can be seen that&nbsp; $ε_1(t)$&nbsp;can assume all values in the range &nbsp; $±1 \ \rm V$&nbsp;:
 
:$${\varepsilon}_\text{ 1, max} \hspace{0.15cm}\underline {= {1}\;{\rm V}} \hspace{0.05cm}.$$
 
:$${\varepsilon}_\text{ 1, max} \hspace{0.15cm}\underline {= {1}\;{\rm V}} \hspace{0.05cm}.$$
  
 
+
'''(3)''' &nbsp; It is sufficient to average over the time range from&nbsp; $t = 0$&nbsp; to&nbsp; $t =T_0/4$,&nbsp; since all other subintervals contribute identically:
 
 
'''(3)''' &nbsp; It is sufficient to average over the time range from&nbsp; $t = 0$&nbsp; to&nbsp; $t =T_0/4$, since all other subintervals contribute identically:
 
 
:$$P_{\varepsilon{\rm 1}} = \frac{1}{T_{\rm 0}/4} \hspace{-0.05cm}\cdot \hspace{-0.05cm}\int_{0}^{ T_{\rm 0}/4} {\varepsilon_1(t)^2 }\hspace{0.1cm}{\rm d}t = \frac{1 \,{\rm V}^2}{T_{\rm 0}/4} \hspace{-0.05cm}\cdot \hspace{-0.05cm} \int_{0}^{ T_{\rm 0}/4} {\left( 1 - \frac{t}{T_{\rm 0}/4}\right)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
 
:$$P_{\varepsilon{\rm 1}} = \frac{1}{T_{\rm 0}/4} \hspace{-0.05cm}\cdot \hspace{-0.05cm}\int_{0}^{ T_{\rm 0}/4} {\varepsilon_1(t)^2 }\hspace{0.1cm}{\rm d}t = \frac{1 \,{\rm V}^2}{T_{\rm 0}/4} \hspace{-0.05cm}\cdot \hspace{-0.05cm} \int_{0}^{ T_{\rm 0}/4} {\left( 1 - \frac{t}{T_{\rm 0}/4}\right)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
 
*Substituting &nbsp; $x = 4 · t/T_0$&nbsp;, this can also be written as:
 
*Substituting &nbsp; $x = 4 · t/T_0$&nbsp;, this can also be written as:
 
:$$P_{\varepsilon{\rm 1}} = 1 \,{\rm V}^2 \hspace{-0.05cm}\cdot \hspace{-0.05cm} \int_{0}^{ 1} \hspace{-0.2cm}{\left( 1 - 2x + x^2\right)}\hspace{0.1cm}{\rm d}x \hspace{0.05cm}= 1 \,{\rm V}^2 \hspace{-0.05cm}\cdot \hspace{-0.05cm} \left( 1 - 1 + \frac{1}{3}\right)\hspace{0.15cm}\underline {= 0.333} \,{\rm V}^2\hspace{0.05cm}.$$
 
:$$P_{\varepsilon{\rm 1}} = 1 \,{\rm V}^2 \hspace{-0.05cm}\cdot \hspace{-0.05cm} \int_{0}^{ 1} \hspace{-0.2cm}{\left( 1 - 2x + x^2\right)}\hspace{0.1cm}{\rm d}x \hspace{0.05cm}= 1 \,{\rm V}^2 \hspace{-0.05cm}\cdot \hspace{-0.05cm} \left( 1 - 1 + \frac{1}{3}\right)\hspace{0.15cm}\underline {= 0.333} \,{\rm V}^2\hspace{0.05cm}.$$
 
 
  
 
'''(4)''' &nbsp; Averaging over one period of the squared source signal yields:
 
'''(4)''' &nbsp; Averaging over one period of the squared source signal yields:
Line 100: Line 93:
 
:$$\rho_{v{\rm 1}} = \frac{P_{q}}{P_{\varepsilon {\rm 1}}} = \frac{2 \,{\rm V}^2}{0.333 \,{\rm V}^2}\hspace{0.15cm}\underline {= 6} \hspace{0.05cm}.$$
 
:$$\rho_{v{\rm 1}} = \frac{P_{q}}{P_{\varepsilon {\rm 1}}} = \frac{2 \,{\rm V}^2}{0.333 \,{\rm V}^2}\hspace{0.15cm}\underline {= 6} \hspace{0.05cm}.$$
  
 +
'''(5)''' &nbsp; According to the sketch presented above,&nbsp; a rectangle of duration &nbsp; $0.5 \cdot T_0$&nbsp; now becomes a trapezoid of absolute duration&nbsp; $0.75 · T_0$.
 +
*Thus,&nbsp; according to the laws of convolution,&nbsp; it is obvious that the equivalent pulse duration must be&nbsp; $Δt_2/T_0\hspace{0.15cm}\underline { = 0.25}$&nbsp;.
  
  
'''(5)''' &nbsp; According to the sketch presented above, a rectangle of duration &nbsp; $0.5 \cdot T_0$&nbsp; now becomes a trapezoid of absolute duration&nbsp; $0.75 · T_0$.
+
'''(6)''' &nbsp; The lower plot in the above graph shows that &nbsp; $ε_2(t)$&nbsp; is composed of four triangles within a period of &nbsp; $T_0$&nbsp; just like&nbsp; $ε_1(t)$,&nbsp; though they are only half as wide.&nbsp;  
*Thus, according to the laws of convolution, it is obvious that the equivalent pulse duration must be&nbsp; $Δt_2/T_0\hspace{0.15cm}\underline { = 0.25}$&nbsp;.
+
*Thus,&nbsp; in half the time, &nbsp; $ε_2(t) = 0$.
 
+
*Because of&nbsp; $ε_\text{2, max} = ε_\text{1, max} = 1 \ \rm V$,&nbsp; one obtains:
 
 
 
 
'''(6)''' &nbsp; The lower plot in the above graph shows that &nbsp; $ε_2(t)$&nbsp; is composed of four triangles within a period of &nbsp; $T_0$&nbsp; just like&nbsp; $ε_1(t)$&nbsp;, though they are only half as wide.&nbsp;  
 
*Thus, in half the time, &nbsp; $ε_2(t) = 0$.
 
 
 
*Because of&nbsp; $ε_\text{2, max} = ε_\text{1, max} = 1 \ \rm V$&nbsp;, one obtains:
 
 
:$$P_{\varepsilon{\rm 2}} ={P_{\varepsilon{\rm 1}}}/{2} \hspace{0.15cm}\underline {= 0.167} \,{\rm V}^2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v{\rm 2}} = {P_{q}}/{P_{\varepsilon {\rm 2}}}\hspace{0.15cm}\underline {= 12} \hspace{0.05cm}.$$
 
:$$P_{\varepsilon{\rm 2}} ={P_{\varepsilon{\rm 1}}}/{2} \hspace{0.15cm}\underline {= 0.167} \,{\rm V}^2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v{\rm 2}} = {P_{q}}/{P_{\varepsilon {\rm 2}}}\hspace{0.15cm}\underline {= 12} \hspace{0.05cm}.$$
  
  
 
+
'''(7)''' &nbsp; For&nbsp; $Δt = T_0/2$&nbsp; the distortion power&nbsp; $P_{ε1} = 1/3 \ \rm  V^{ 2 }$&nbsp;was calculated in subtask&nbsp; '''(3)'''.  
'''(7)''' &nbsp; Für&nbsp; $Δt = T_0/2$&nbsp; wurde in der Teilaufgabe&nbsp; '''(3)'''&nbsp; die Verzerrungsleistung&nbsp; $P_{ε1} = 1/3 \ \rm  V^{ 2 }$&nbsp; berechnet.  
+
*In subtask&nbsp; '''(6)'''&nbsp; it was shown,&nbsp; that for &nbsp; $Δt = T_0/4$&nbsp; the distortion power&nbsp; $P_{ε2}$&nbsp; is only half.
*In der Teilaufgabe&nbsp; '''(6)'''&nbsp; wurde gezeigt, dass bei&nbsp; $Δt = T_0/4$&nbsp; die Verzerrungsleistung&nbsp; $P_{ε2}$&nbsp; nur halb so groß ist.
+
*It was clearly illustrated that a linear relationship holds.&nbsp; For&nbsp; $Δt ≤ T_0/2$&nbsp; we get the following empirical equations:
 
 
*Anschaulich wurde erläutert, dass ein linearer Zusammenhang besteht.&nbsp; Daraus folgen für&nbsp; $Δt ≤ T_0/2$&nbsp; die empirischen Gleichungen:
 
 
:$$P_{\varepsilon} = \frac{2 \,{\rm V}^2}{3} \cdot \frac{\Delta t}{T_0} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v} = \frac{P_{q}}{P_{\varepsilon }}= \frac{3}{\Delta t/T_0} \hspace{0.05cm}.$$
 
:$$P_{\varepsilon} = \frac{2 \,{\rm V}^2}{3} \cdot \frac{\Delta t}{T_0} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v} = \frac{P_{q}}{P_{\varepsilon }}= \frac{3}{\Delta t/T_0} \hspace{0.05cm}.$$
*Der Sonderfall&nbsp; $Δt = T_0/20$&nbsp; führt somit zu den Resultaten:
+
*Thus,&nbsp; the special case&nbsp; $Δt = T_0/20$&nbsp; results in:
 
:$$P_{\varepsilon{\rm 3}} = \frac{2 \,{\rm V}^2}{60} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v{\rm 3}} = \frac{P_{q}}{P_{\varepsilon {\rm 3}}}\hspace{0.15cm}\underline {= 60} \hspace{0.05cm}.$$
 
:$$P_{\varepsilon{\rm 3}} = \frac{2 \,{\rm V}^2}{60} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v{\rm 3}} = \frac{P_{q}}{P_{\varepsilon {\rm 3}}}\hspace{0.15cm}\underline {= 60} \hspace{0.05cm}.$$
  

Latest revision as of 18:50, 23 March 2022

Distortions for square wave signals

Modulator,  channel,  and demodulator of a communication system can be represented by a single linear system with frequency response

$$ H(f) = {\rm si }( \pi \cdot f \cdot \Delta t)= {\rm sinc }(f \cdot \Delta t)$$

The corresponding impulse response is rectangular,  symmetrical about  $t = 0$  and has height  $1/Δt$  and (equivalent) duration  $Δt$ :

$$ h(t) = \left\{ \begin{array}{c} 1/\Delta t \\ 1/(2\Delta t) \\ 0 \\ \end{array} \right. \begin{array}{*{4}c} {\rm{for}} \\ {\rm{for}} \\ {\rm{for}} \\ \end{array}\begin{array}{*{20}c} {\left| \hspace{0.005cm} t\hspace{0.05cm} \right| < \Delta t/2,} \\ {\left| \hspace{0.005cm}t\hspace{0.05cm} \right| = \Delta t/2,} \\ {\left|\hspace{0.005cm} t \hspace{0.05cm} \right| > \Delta t/2.} \\ \end{array}$$

This is a rectangular-in-time low-pass filter,  as discussed in the chapter  Some Low-Pass Functions in Systems Theory  in the book "Linear and Time Invariant Systems".

The periodic square wave signal  $q(t)$  of period  $T_0$  is applied at the system input.  Thus, the duration of each rectangle and each gap is  $T_0/2$.  The height of the rectangles is  $2\ \rm V$.

The signal  $v(t)$  at the system output is called the sink signal.  This is represented in the graph for two different parameter values for the equivalent pulse duration (red waveforms):

  • The signal  $v_1(t)$  results when the equivalent pulse duration of  $h(t)$  is exactly  $Δt_1$ .
  • Accordingly, the signal  $v_2(t)$  is obtained with the equivalent pulse duration of  $Δt_2$.


The change from the square wave signal  $q(t)$  to the triangular or trapezoidal sink signal  $v(t)$  is due to linear distortions and is captured by the error signal  

$$ε(t) = v(t) - q(t).$$

Using the signal powers  $P_q$  and  $P_ε$  of  $q(t)$  and  $ε(t)$,  respectively, the sink SNR can be calculated:

$$\rho_{v} =P_{q}/{P_{\varepsilon }} \hspace{0.05cm}.$$



Hints:

  • This exercise belongs to the chapter  Quality Criteria.  Particular reference is made to the page  Signal–to–noise (power) ratio and to the chapter  Linear Distortions  in the book  "Linear and Time Invarian Systems".
  • The powers  $P_q$  and  $P_ε$  are the root mean square values of the signals  $q(t)$  and  $ε(t)$  and can be determined for periodic signals with period duration  $T_0$  as follows:
$$P_{q} = \overline{q(t)^2} = \frac{1}{T_{\rm 0}} \cdot \int_{0}^{ T_{\rm 0}} {q(t)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}, \hspace{0.5cm} P_{\varepsilon} = \overline{\varepsilon(t)^2} = \frac{1}{T_{\rm 0}} \cdot \int_{0}^{ T_{\rm 0}} {\varepsilon(t)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
  • Specifying the powers in  $\rm V^2$,  means that the signals refer to a resistance of  $R = 1\ \rm \Omega$ .
  • For abbreviation we define the following functions:
  1.  $\text{sinc–function}$  (predominantly used in Anglo-American literature)     ⇒     ${\rm sinc}( x ) = {\sin (\pi x) }/(\pi x ),$
  2.  $\text{si–function}$  or $\text{splitting function}$  (predominantly used in German literature)     ⇒     ${\rm si}\left( x \right) = \sin \left( x \right)/x = {\rm sinc}(x/\pi ).$


Questions

1

How long is the equivalent pulse duration  $Δt_1$  within the signal  $v_1(t)$,  relative to the period   $T_0$?

$Δt_1/T_0 \ = \ $

2

What is the maximum value of the error signal  $ε_1(t) = v_1(t) - q(t)$?

$ε_\text{1, max} \ = \ $

$\ \rm V$

3

What is the "power"  $P_{ε1}$  of the error signal,  i.e.,  the mean square deviation between  $v_1(t)$  and  $q(t)$?

$P_{ε1} \ = \ $

$\ \rm V^2$

4

Calculate the useful output  $P_q$  and the sink SNR  $ρ_{v1}$.

$P_q\ = \ $

$\ \rm V^2$
$ρ_{v1} \ = \ $

5

How long is the equivalent pulse duration  $Δt_2$  within the signal  $v_2(t)$,  relative to the period  $T_0$?

$Δt_2/T_0 \ = \ $

6

Determine the error signal  $ε_2(t) = v_2(t) - q(t)$,  the distortion power  $P_{ε2}$  and the sink SNR  $ρ_{v2}$.

$P_{ε2} \ = \ $

$\ \rm V^2$
$ρ_{v2} \ = \ $

7

Generalize your results for an arbitrary equivalent pulse duration  $Δt$.  What sink SNR  $ρ_{v3}$  results from  $Δt_3 = T_0/20$?

$ρ_{v3} \ = \ $


Solution

(1)   In general,  convolution of the periodic rectangular signal   $q(t)$  with the similarly rectangular impulse response  $h(t)$  yields a triangular signal   $v(t)$,  only if the rectangles involved have equal width.  It follows:

$$\Delta t_1 = T_0 /2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \Delta t_1 / T_0\hspace{0.15cm}\underline {= 0.5} \hspace{0.05cm}.$$
Error signals for the two receive filters of different widths

(2)   The error signal   $ε_1(t)$  is shown in the adjacent graph.  It can be seen that  $ε_1(t)$ can assume all values in the range   $±1 \ \rm V$ :

$${\varepsilon}_\text{ 1, max} \hspace{0.15cm}\underline {= {1}\;{\rm V}} \hspace{0.05cm}.$$

(3)   It is sufficient to average over the time range from  $t = 0$  to  $t =T_0/4$,  since all other subintervals contribute identically:

$$P_{\varepsilon{\rm 1}} = \frac{1}{T_{\rm 0}/4} \hspace{-0.05cm}\cdot \hspace{-0.05cm}\int_{0}^{ T_{\rm 0}/4} {\varepsilon_1(t)^2 }\hspace{0.1cm}{\rm d}t = \frac{1 \,{\rm V}^2}{T_{\rm 0}/4} \hspace{-0.05cm}\cdot \hspace{-0.05cm} \int_{0}^{ T_{\rm 0}/4} {\left( 1 - \frac{t}{T_{\rm 0}/4}\right)^2 }\hspace{0.1cm}{\rm d}t \hspace{0.05cm}.$$
  • Substituting   $x = 4 · t/T_0$ , this can also be written as:
$$P_{\varepsilon{\rm 1}} = 1 \,{\rm V}^2 \hspace{-0.05cm}\cdot \hspace{-0.05cm} \int_{0}^{ 1} \hspace{-0.2cm}{\left( 1 - 2x + x^2\right)}\hspace{0.1cm}{\rm d}x \hspace{0.05cm}= 1 \,{\rm V}^2 \hspace{-0.05cm}\cdot \hspace{-0.05cm} \left( 1 - 1 + \frac{1}{3}\right)\hspace{0.15cm}\underline {= 0.333} \,{\rm V}^2\hspace{0.05cm}.$$

(4)   Averaging over one period of the squared source signal yields:

$$P_{q} = \frac{1}{T_0} \cdot \left[(2\,{\rm V})^2 \cdot \frac{T_0}{2}+(0\,{\rm V})^2 \cdot \frac{T_0}{2} \right]\hspace{0.15cm}\underline {= 2\,{\rm V^2}}\hspace{0.05cm}.$$
  • The sink SNR is therefore
$$\rho_{v{\rm 1}} = \frac{P_{q}}{P_{\varepsilon {\rm 1}}} = \frac{2 \,{\rm V}^2}{0.333 \,{\rm V}^2}\hspace{0.15cm}\underline {= 6} \hspace{0.05cm}.$$

(5)   According to the sketch presented above,  a rectangle of duration   $0.5 \cdot T_0$  now becomes a trapezoid of absolute duration  $0.75 · T_0$.

  • Thus,  according to the laws of convolution,  it is obvious that the equivalent pulse duration must be  $Δt_2/T_0\hspace{0.15cm}\underline { = 0.25}$ .


(6)   The lower plot in the above graph shows that   $ε_2(t)$  is composed of four triangles within a period of   $T_0$  just like  $ε_1(t)$,  though they are only half as wide. 

  • Thus,  in half the time,   $ε_2(t) = 0$.
  • Because of  $ε_\text{2, max} = ε_\text{1, max} = 1 \ \rm V$,  one obtains:
$$P_{\varepsilon{\rm 2}} ={P_{\varepsilon{\rm 1}}}/{2} \hspace{0.15cm}\underline {= 0.167} \,{\rm V}^2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v{\rm 2}} = {P_{q}}/{P_{\varepsilon {\rm 2}}}\hspace{0.15cm}\underline {= 12} \hspace{0.05cm}.$$


(7)   For  $Δt = T_0/2$  the distortion power  $P_{ε1} = 1/3 \ \rm V^{ 2 }$ was calculated in subtask  (3).

  • In subtask  (6)  it was shown,  that for   $Δt = T_0/4$  the distortion power  $P_{ε2}$  is only half.
  • It was clearly illustrated that a linear relationship holds.  For  $Δt ≤ T_0/2$  we get the following empirical equations:
$$P_{\varepsilon} = \frac{2 \,{\rm V}^2}{3} \cdot \frac{\Delta t}{T_0} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v} = \frac{P_{q}}{P_{\varepsilon }}= \frac{3}{\Delta t/T_0} \hspace{0.05cm}.$$
  • Thus,  the special case  $Δt = T_0/20$  results in:
$$P_{\varepsilon{\rm 3}} = \frac{2 \,{\rm V}^2}{60} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} \rho_{v{\rm 3}} = \frac{P_{q}}{P_{\varepsilon {\rm 3}}}\hspace{0.15cm}\underline {= 60} \hspace{0.05cm}.$$