Aufgaben:Exercise 3.12: Trellis Diagram for Two Precursors: Difference between revisions
From LNTwww
Add German interlanguage link |
Join split $$ formula lines for correct rendering |
||
| Line 11: | Line 11: | ||
*Here, the minimum accumulated metric ${\it \Gamma}_{\rm \nu}(01)$ is the smaller value obtained from the comparison of | *Here, the minimum accumulated metric ${\it \Gamma}_{\rm \nu}(01)$ is the smaller value obtained from the comparison of | ||
:$$\big[{\it \Gamma}_{\nu-1}(00) + \varepsilon_{\nu}(001)\big] \hspace{0.15cm}{\rm and} | :$$\big[{\it \Gamma}_{\nu-1}(00) + \varepsilon_{\nu}(001)\big] \hspace{0.15cm}{\rm and}\hspace{0.15cm}\big[{\it \Gamma}_{\nu-1}(10) + \varepsilon_{\nu}(101)\big].$$ | ||
To calculate the minimum accumulated metric ${\it \Gamma}_2(10)$ in subtasks '''(1)''' and '''(2)''', assume the following numerical values: | To calculate the minimum accumulated metric ${\it \Gamma}_2(10)$ in subtasks '''(1)''' and '''(2)''', assume the following numerical values: | ||
| Line 22: | Line 21: | ||
* minimum accumulated metric at time $\nu = 1$: | * minimum accumulated metric at time $\nu = 1$: | ||
:$${\it \Gamma}_{1}(00) = 0.0,\hspace{0.2cm}{\it \Gamma}_{1}(01) = 0.2, \hspace{0.2cm} {\it \Gamma}_{1}(10) = 0.6,\hspace{0.2cm}{\it \Gamma}_{1}(11) = | :$${\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}.$$ | ||
The graph shows the simplified trellis diagram for time points $\nu = 1$ to $\nu = 8$. | The graph shows the simplified trellis diagram for time points $\nu = 1$ to $\nu = 8$. | ||
| Line 67: | Line 64: | ||
{{ML-Kopf}} | {{ML-Kopf}} | ||
'''(1)''' The first metric is calculated as follows: | '''(1)''' The first metric is calculated as follows: | ||
:$$\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} | :$$\varepsilon_{2}(010) = [d_0 - 0 \cdot g_0 - 1 \cdot g_{-1}- 0 \cdot g_{-2}]^2= [0.2 -0.3]^2\hspace{0.15cm}\underline {=0.01}\hspace{0.05cm}.$$ | ||
Correspondingly, for the other metrics: | Correspondingly, for the other metrics: | ||
:$$\varepsilon_{2}(011) \ = \ [0.2 -0.3- 0.2]^2\hspace{0.15cm}\underline {=0.09}\hspace{0.05cm},$$ | :$$\varepsilon_{2}(011) \ = \ [0.2 -0.3- 0.2]^2\hspace{0.15cm}\underline {=0.09}\hspace{0.05cm},$$ | ||
:$$\varepsilon_{2}(110) \ = \ [0.2 -0.5- 0.3]^2\hspace{0.15cm}\underline {=0.36}\hspace{0.05cm},$$ | :$$\varepsilon_{2}(110) \ = \ [0.2 -0.5- 0.3]^2\hspace{0.15cm}\underline {=0.36}\hspace{0.05cm},$$ | ||
:$$\varepsilon_{2}(111) \ = \ [0.2 -0.5- 0.3-0.2]^2\hspace{0.15cm}\underline {=0.64} | :$$\varepsilon_{2}(111) \ = \ [0.2 -0.5- 0.3-0.2]^2\hspace{0.15cm}\underline {=0.64}\hspace{0.05cm}.$$ | ||
'''(2)''' The task is to find the minimum value of each of two comparison values: | '''(2)''' The task is to find the minimum value of each of two comparison values: | ||
:$${\it \Gamma}_{2}(10) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(010), | :$${\it \Gamma}_{2}(10) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(010),\hspace{0.2cm}{\it \Gamma}_{1}(11) + \varepsilon_{2}(110)\right] = {\rm Min}\left[0.2+ 0.01, 1.2 + 0.36\right]\hspace{0.15cm}\underline {= 0.21}\hspace{0.05cm},$$ | ||
:$${\it \Gamma}_{2}(11) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(011),\hspace{0.2cm}{\it \Gamma}_{1}(11) + \varepsilon_{2}(111)\right] = {\rm Min}\left[0.2+ 0.09, 1.2 + 0.64\right]\hspace{0.15cm}\underline {= 0.29}\hspace{0.05cm}.$$ | |||
:$${\it \Gamma}_{2}(11) \ = \ {\rm Min}\left[{\it \Gamma}_{1}(01) + \varepsilon_{2}(011), | |||
Revision as of 15:30, 16 March 2026

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:
- The exercise belongs to the chapter "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
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 $a_8 = 1$.