Aufgaben:Exercise 3.12: Trellis Diagram for Two Precursors: Difference between revisions

From LNTwww
Hussain (talk | contribs)
Die Seite wurde neu angelegt: „ {{quiz-Header|Buchseite=Digitalsignalübertragung/Viterbi–Empfänger}} right|frame|Trellisdiagramm für 2 Vorläufer Wir…“
 
Fix interlanguage link: resolve redirect chain
 
(25 intermediate revisions by 6 users not shown)
Line 1: Line 1:


{{quiz-Header|Buchseite=Digitalsignalübertragung/Viterbi–Empfänger}}
{{quiz-Header|Buchseite=Digital_Signal_Transmission/Viterbi_Receiver}}


[[File:P_ID1478__Dig_A_3_12.png|right|frame|Trellisdiagramm für 2 Vorläufer]]
[[File:P_ID1478__Dig_A_3_12.png|right|frame|Trellis diagram for two precursors]]
Wir gehen von den Grundimpulswerten $g_0$, $g_{\rm –1}$ und $g_{\rm &ndash2}$ aus. Das bedeutet, dass die Entscheidung über das Symbol $a_{\rm \nu}$ auch durch die nachfolgenden Koeffizienten $a_{\rm \nu +1}$ und $a_{\rm \nu +2}$ beeinflusst wird. Damit sind für jeden Zeitpunkt $\nu$ genau $8$ Fehlergrößen $\epsilon_{\rm \nu}$ zu berechnen, aus denen die minimalen Gesamtfehlergrößen ${\rm \Gamma}_{\rm \nu}(00)$, ${\rm \Gamma}_{\rm \nu}(01)$, ${\rm \Gamma}_{\rm \nu}(10)$ und ${\rm \Gamma}_{\rm \nu}(11)$ berechnet werden können. Hierbei liefert beispielsweise ${\rm \Gamma}_{\rm \nu}(01)$ Information über das Symbol $a_{\rm \nu}$ unter der Annahme, dass $a_{\rm \nu +1} = 0$ und $a_{\rm \nu +2} = 1$ sein werden. Die minimale Gesamtfehlergröße ${\it \Gamma}_{\rm \nu}(01)$ ist hierbei der kleinere Wert aus dem Vergleich von
We assume the basic pulse values   $g_0\ne 0$,  $g_{\rm –1}\ne 0$  and  $g_{\rm –2}\ne 0$: 
:$${\it \Gamma}_{\nu-1}(00) + \varepsilon_{\nu}(001) \hspace{0.15cm}{\rm und}
*This means that the decision on the symbol  $a_{\rm \nu}$  is also influenced by the subsequent coefficients  $a_{\rm \nu +1}$  and  $a_{\rm \nu +2}$. 
\hspace{0.15cm}{\it \Gamma}_{\nu-1}(10) + \varepsilon_{\nu}(101).$$
*Thus,  for each time point   $\nu$,  exactly eight  '''metrics'''   $\varepsilon_{\rm \nu}$  have to be determined, from which the  '''minimum accumulated metrics'''   ${\it \Gamma}_{\rm \nu}(00)$,  ${\it \Gamma}_{\rm \nu}(01)$,  ${\it \Gamma}_{\rm \nu}(10)$  and  ${\it \Gamma}_{\rm \nu}(11)$  can be calculated.


Zur Berechnung der minimalen Gesamtfehlergröße ${\it \Gamma}_2(10)$ in den Teilaufgaben (1) und (2) soll von folgenden Zahlenwerten ausgegangen werden:
*For example,   ${\it \Gamma}_{\rm \nu}(01)$  provides information about the symbol  $a_{\rm \nu}$  under the assumption that  $a_{\rm \nu +1} = 0$  and  $a_{\rm \nu +2} = 1$  will be.


*Here, the minimum accumulated metric   ${\it \Gamma}_{\rm \nu}(01)$  is the smaller value obtained from the comparison of
:$$\big[{\it \Gamma}_{\nu-1}(00) + \varepsilon_{\nu}(001)\big] \hspace{0.15cm}{\rm and}\hspace{0.15cm}\big[{\it \Gamma}_{\nu-1}(10) + \varepsilon_{\nu}(101)\big].$$


===Fragebogen===
To calculate the minimum accumulated metric   ${\it \Gamma}_2(10)$  in subtasks '''(1)''' and '''(2)''',  assume the following numerical values:
* unipolar amplitude coefficients:  $a_{\rm \nu} ∈ \{0, 1\}$,


* basic pulse values   $g_0 = 0.5$,  $g_{\rm –1} = 0.3$,  $g_{\rm –2} = 0.2$,
* applied noisy detection sample:  $d_2 = 0.2$,
* minimum accumulated metric at time  $\nu = 1$:
:$${\it \Gamma}_{1}(00) = 0.0,\hspace{0.2cm}{\it \Gamma}_{1}(01) = 0.2, \hspace{0.2cm} {\it \Gamma}_{1}(10) = 0.6,\hspace{0.2cm}{\it \Gamma}_{1}(11) =1.2\hspace{0.05cm}.$$
The graph shows the simplified trellis diagram for time points   $\nu = 1$  to   $\nu = 8$. 
*Blue branches come from either   ${\it \Gamma}_{\rm \nu –1}(00)$   or   ${\it \Gamma}_{\rm \nu –1}(01)$   and denote a hypothetical  "$0$".
*In contrast,  all red branches – starting from the   ${\it \Gamma}_{\rm \nu –1}(10)$  or   ${\it \Gamma}_{\rm \nu –1}(11)$  states – indicate the symbol  "$1$".
Notes:
*The exercise belongs to the chapter    [[Digital_Signal_Transmission/Viterbi_Receiver|"Viterbi Receiver"]].
* All quantities here are to be understood normalized.
* Also, assume unipolar and equal probability amplitude coefficients:   ${\rm Pr} (a_\nu = 0) = {\rm Pr} (a_\nu = 1)= 0.5.$
===Questions===
<quiz display=simple>
<quiz display=simple>
{Multiple-Choice Frage
{Calculate the following metrics:
|type="{}"}
$\varepsilon_2(010) \ = \ $ { 0.01 3% }
$\varepsilon_2(011) \ = \ $ { 0.09 3% }
$\varepsilon_2(110) \ = \ $ { 0.36 3% }
$\varepsilon_2(111) \ = \ $ { 0.64 3% }
 
{Calculate the following minimum accumulated metrics:
|type="{}"}
${\it \Gamma}_2(10) \ = \ $ { 0.21 3% }
${\it \Gamma}_2(11) \ = \ $ { 0.29 3% }
 
{What are the symbols output by the Viterbi receiver?
|type="[]"}
|type="[]"}
- Falsch
+ The first seven symbols are &nbsp; "$1011010$".
+ Richtig
- The first seven symbols are &nbsp; "$1101101$".
- The last symbol &nbsp;$a_8 = 1$&nbsp; is safe.
+ No definite statement can be made about the symbol &nbsp;$a_8$.&nbsp;
</quiz>
 
===Solution===
{{ML-Kopf}}
'''(1)'''&nbsp; The first metric is calculated as follows:
:$$\varepsilon_{2}(010)  = [d_0 - 0 \cdot g_0 - 1 \cdot g_{-1}- 0 \cdot g_{-2}]^2= [0.2 -0.3]^2\hspace{0.15cm}\underline {=0.01}\hspace{0.05cm}.$$


Correspondingly,&nbsp; for the other metrics:
:$$\varepsilon_{2}(011) \ = \  [0.2 -0.3- 0.2]^2\hspace{0.15cm}\underline {=0.09}\hspace{0.05cm},$$
:$$\varepsilon_{2}(110) \ = \  [0.2 -0.5- 0.3]^2\hspace{0.15cm}\underline {=0.36}\hspace{0.05cm},$$
:$$\varepsilon_{2}(111) \ = \  [0.2 -0.5- 0.3-0.2]^2\hspace{0.15cm}\underline {=0.64}\hspace{0.05cm}.$$


{Input-Box Frage
 
|type="{}"}
'''(2)'''&nbsp; The task is to find the minimum value of each of two comparison values:
$\alpha$ = { 0.3 }
:$${\it \Gamma}_{2}(10) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(010),\hspace{0.2cm}{\it \Gamma}_{1}(11) + \varepsilon_{2}(110)\right] = {\rm Min}\left[0.2+ 0.01, 1.2 + 0.36\right]\hspace{0.15cm}\underline {= 0.21}\hspace{0.05cm},$$
:$${\it \Gamma}_{2}(11) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(011),\hspace{0.2cm}{\it \Gamma}_{1}(11) + \varepsilon_{2}(111)\right] =  {\rm Min}\left[0.2+ 0.09, 1.2 + 0.64\right]\hspace{0.15cm}\underline {= 0.29}\hspace{0.05cm}.$$




'''(3)'''&nbsp; The&nbsp; <u>first and last solutions</u>&nbsp; are correct:
*The sequence&nbsp; "$1011010$"&nbsp; can be recognized from the continuous path: &nbsp; &nbsp; "red &ndash; blue &ndash; red &ndash; red &ndash; blue &ndash; red &ndash; blue".


</quiz>
*On the other hand,&nbsp; no final statement can be made about the symbol&nbsp; $a_8$&nbsp; at time&nbsp; $\nu = 8$:


===Musterlösung===
*Only under the hypothesis&nbsp; $a_9 = 1$&nbsp; <u>and</u>&nbsp; $a_{\rm 10} = 1$&nbsp; one would decide for&nbsp; $a_8 = 0$,&nbsp; under other hypotheses for&nbsp; $a_8 = 1$.
{{ML-Kopf}}
'''1.'''
'''2.'''
'''3.'''
'''4.'''
'''5.'''
'''6.'''
'''7.'''
{{ML-Fuß}}
{{ML-Fuß}}






[[Category:Aufgaben zu Digitalsignalübertragung|^3.8 Viterbi-Empfänger^]]
[[Category:Digital Signal Transmission: Exercises|^3.8 Viterbi Receiver^]]
[[de:Aufgaben:Aufgabe 3.12: Trellisdiagramm für zwei Vorläufer]]

Latest revision as of 17:54, 16 March 2026

Trellis diagram for two precursors

We assume the basic pulse values   $g_0\ne 0$,  $g_{\rm –1}\ne 0$  and  $g_{\rm –2}\ne 0$: 

  • This means that the decision on the symbol  $a_{\rm \nu}$  is also influenced by the subsequent coefficients  $a_{\rm \nu +1}$  and  $a_{\rm \nu +2}$. 
  • Thus,  for each time point   $\nu$,  exactly eight  metrics   $\varepsilon_{\rm \nu}$  have to be determined, from which the  minimum accumulated metrics   ${\it \Gamma}_{\rm \nu}(00)$,  ${\it \Gamma}_{\rm \nu}(01)$,  ${\it \Gamma}_{\rm \nu}(10)$  and  ${\it \Gamma}_{\rm \nu}(11)$  can be calculated.
  • For example,   ${\it \Gamma}_{\rm \nu}(01)$  provides information about the symbol  $a_{\rm \nu}$  under the assumption that  $a_{\rm \nu +1} = 0$  and  $a_{\rm \nu +2} = 1$  will be.
  • Here, the minimum accumulated metric   ${\it \Gamma}_{\rm \nu}(01)$  is the smaller value obtained from the comparison of
$$\big[{\it \Gamma}_{\nu-1}(00) + \varepsilon_{\nu}(001)\big] \hspace{0.15cm}{\rm and}\hspace{0.15cm}\big[{\it \Gamma}_{\nu-1}(10) + \varepsilon_{\nu}(101)\big].$$

To calculate the minimum accumulated metric   ${\it \Gamma}_2(10)$  in subtasks (1) and (2),  assume the following numerical values:

  • unipolar amplitude coefficients:  $a_{\rm \nu} ∈ \{0, 1\}$,
  • basic pulse values   $g_0 = 0.5$,  $g_{\rm –1} = 0.3$,  $g_{\rm –2} = 0.2$,
  • applied noisy detection sample:  $d_2 = 0.2$,
  • minimum accumulated metric at time  $\nu = 1$:
$${\it \Gamma}_{1}(00) = 0.0,\hspace{0.2cm}{\it \Gamma}_{1}(01) = 0.2, \hspace{0.2cm} {\it \Gamma}_{1}(10) = 0.6,\hspace{0.2cm}{\it \Gamma}_{1}(11) =1.2\hspace{0.05cm}.$$

The graph shows the simplified trellis diagram for time points   $\nu = 1$  to   $\nu = 8$. 

  • Blue branches come from either   ${\it \Gamma}_{\rm \nu –1}(00)$   or   ${\it \Gamma}_{\rm \nu –1}(01)$   and denote a hypothetical  "$0$".
  • In contrast,  all red branches – starting from the   ${\it \Gamma}_{\rm \nu –1}(10)$  or   ${\it \Gamma}_{\rm \nu –1}(11)$  states – indicate the symbol  "$1$".


Notes:

  • All quantities here are to be understood normalized.
  • Also, assume unipolar and equal probability amplitude coefficients:   ${\rm Pr} (a_\nu = 0) = {\rm Pr} (a_\nu = 1)= 0.5.$


Questions

1 Calculate the following metrics:

$\varepsilon_2(010) \ = \ $
$\varepsilon_2(011) \ = \ $
$\varepsilon_2(110) \ = \ $
$\varepsilon_2(111) \ = \ $

2 Calculate the following minimum accumulated metrics:

${\it \Gamma}_2(10) \ = \ $
${\it \Gamma}_2(11) \ = \ $

3 What are the symbols output by the Viterbi receiver?

The first seven symbols are   "$1011010$".
The first seven symbols are   "$1101101$".
The last symbol  $a_8 = 1$  is safe.
No definite statement can be made about the symbol  $a_8$. 


Solution

(1)  The first metric is calculated as follows:

$$\varepsilon_{2}(010) = [d_0 - 0 \cdot g_0 - 1 \cdot g_{-1}- 0 \cdot g_{-2}]^2= [0.2 -0.3]^2\hspace{0.15cm}\underline {=0.01}\hspace{0.05cm}.$$

Correspondingly,  for the other metrics:

$$\varepsilon_{2}(011) \ = \ [0.2 -0.3- 0.2]^2\hspace{0.15cm}\underline {=0.09}\hspace{0.05cm},$$
$$\varepsilon_{2}(110) \ = \ [0.2 -0.5- 0.3]^2\hspace{0.15cm}\underline {=0.36}\hspace{0.05cm},$$
$$\varepsilon_{2}(111) \ = \ [0.2 -0.5- 0.3-0.2]^2\hspace{0.15cm}\underline {=0.64}\hspace{0.05cm}.$$


(2)  The task is to find the minimum value of each of two comparison values:

$${\it \Gamma}_{2}(10) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(010),\hspace{0.2cm}{\it \Gamma}_{1}(11) + \varepsilon_{2}(110)\right] = {\rm Min}\left[0.2+ 0.01, 1.2 + 0.36\right]\hspace{0.15cm}\underline {= 0.21}\hspace{0.05cm},$$
$${\it \Gamma}_{2}(11) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(011),\hspace{0.2cm}{\it \Gamma}_{1}(11) + \varepsilon_{2}(111)\right] = {\rm Min}\left[0.2+ 0.09, 1.2 + 0.64\right]\hspace{0.15cm}\underline {= 0.29}\hspace{0.05cm}.$$


(3)  The  first and last solutions  are correct:

  • The sequence  "$1011010$"  can be recognized from the continuous path:     "red – blue – red – red – blue – red – blue".
  • On the other hand,  no final statement can be made about the symbol  $a_8$  at time  $\nu = 8$:
  • Only under the hypothesis  $a_9 = 1$  and  $a_{\rm 10} = 1$  one would decide for  $a_8 = 0$,  under other hypotheses for  $a_8 = 1$.