Difference between revisions of "Aufgaben:Exercise 3.13: Path Weighting Function again"
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{{quiz-Header|Buchseite=Channel_Coding/Distance_Characteristics_and_Error_Probability_Barriers}} | {{quiz-Header|Buchseite=Channel_Coding/Distance_Characteristics_and_Error_Probability_Barriers}} | ||
− | [[File: | + | [[File:EN_KC_A_3_13.png|right|frame|For the reduction of the state transition diagram]] |
In the [[Channel_Coding/Distance_Characteristics_and_Error_Probability_Barriers#Rules_for_manipulating_the_state_transition_diagram|"rules for manipulating the state transition diagram"]] section, for the example of our rate 1/2 standard code with memory m=2 and the transfer function matrix | In the [[Channel_Coding/Distance_Characteristics_and_Error_Probability_Barriers#Rules_for_manipulating_the_state_transition_diagram|"rules for manipulating the state transition diagram"]] section, for the example of our rate 1/2 standard code with memory m=2 and the transfer function matrix | ||
:{\boldsymbol{\rm G}}(D) = \big ( 1 + D + D^2\hspace{0.05cm},\hspace{0.1cm} 1 + D^2 \hspace{0.05cm}\big ) | :{\boldsymbol{\rm G}}(D) = \big ( 1 + D + D^2\hspace{0.05cm},\hspace{0.1cm} 1 + D^2 \hspace{0.05cm}\big ) |
Revision as of 18:49, 21 November 2022
In the "rules for manipulating the state transition diagram" section, for the example of our rate 1/2 standard code with memory m = 2 and the transfer function matrix
- {\boldsymbol{\rm G}}(D) = \big ( 1 + D + D^2\hspace{0.05cm},\hspace{0.1cm} 1 + D^2 \hspace{0.05cm}\big )
the calculation of path weighting enumerator functions was described in great detail. The results given were:
- T_{\rm enh}(X, U) \hspace{-0.2cm} \ = \ \hspace{-0.2cm} \frac{U\hspace{-0.05cm} X^5}{1- 2U\hspace{-0.05cm}X} =U\hspace{-0.05cm}X^5 \cdot \big [ 1 + (2U\hspace{-0.08cm}X) + (2U\hspace{-0.08cm}X)^2 + \text{...} \hspace{0.05cm} \big ] \hspace{0.01cm},
- T(X) \hspace{-0.2cm} \ = \ \hspace{-0.2cm} \frac{X^5}{1- 2X} = X^5 \cdot \big [ 1 + (2X) + (2X)^2 + \text{...} \hspace{0.05cm} \big ] \hspace{0.05cm}.
Now the same calculations shall be done for the "equivalent systematic code" with the transfer function matrix
- {\boldsymbol{\rm G}}(D) = \big ( 1 \hspace{0.05cm},\hspace{0.1cm} (1 + D^2)/(1 + D + D^2) \hspace{0.05cm}\big )
can be performed.
- The diagram shows the state transition diagram \rm (A) and the structure of the reduced diagram \rm (B), where the transitions are denoted by A(X, \, U), \ \text{...}\ , \ G(X, \, U) in general.
- In the subtask (1) these abbreviations are to be adapted to the state transition diagram \rm (A) .
Hints:
- This exercise belongs to the chapter "Distance Characteristics and Error Probability Barriers".
- For the solution of the subtasks (2) and (3)' we refer here again to the section "Rules for manipulating the state transition diagram" in the theory section.
Solution
Solution
- The transition from S_0 to S_1 is denoted by "1 \ | \ 11".
- The output sequence \underline{x}_i = (11) is expressed by X^2, the input bit u_i = 1 by U.
- The same result is obtained for G(X, \, U):
- A(X, U) = G(X, U)= UX^2 \hspace{0.05cm}.
- The output sequences \underline{x}_i = (01) as well as \underline{x}_i = (10) are both marked with X.
- Taking into account the input bits, we thus obtain:
- u_i = 1\hspace{-0.1cm}:\hspace{0.15cm} B(X, U) = D(X, U)= UX\hspace{0.05cm},
- u_i = 0\hspace{-0.1cm}:\hspace{0.15cm} C(X, U) = E(X, U)= X \hspace{0.05cm}.
- The transition "0 \ | \ 00" from S_2 to S_1 is expressed by F(X, \, U) = 1.
(2) According to the procedure in section "Rules for manipulating the state transition diagram" in the theory section, first the transition from S_1 to S_2 via S_3 is summarized by an ring.
- One obtains for the red background in the diagram \rm (B):
- T_1(X, U) = \frac{A(X, U) \cdot B(X, U)}{1- C(X, U)} = \frac{X \cdot X}{1- U \cdot X} \hspace{0.05cm}.
- The two parallel transitions corresponding to the blue background in the diagram \rm (C) can be combined as follows:
- T_2(X, U) \hspace{-0.15cm} \ = \ \hspace{-0.15cm} T_1(X, U) + B(X, U) =\frac{X^2}{1- U X}+ U X = \frac{X^2 + U- U^2X^2}{1- U X} \hspace{0.05cm}.
- The extended path weighting enumerator function results according to diagram \rm (D) as feedback:
- T_{\rm enh}(X, U) = \frac{A(X, U) \cdot G(X, U)\cdot T_2(X, U)}{1- F(X, U) \cdot T_2(X, U)} = \frac{UX^2 \cdot UX^2\cdot \frac{X^2 + UX- U^2X^2}{1- U X}}{1- 1 \cdot \frac{X^2 + UX- U^2X^2}{1- U X}}\hspace{0.05cm}.
Even after several attempts, the author has not succeeded in further simplifying this expression in a target-oriented way. He tends to the proposed solution 3 with the addition "without guarantee".
- However, this result would imply that the extended path weighting enumerator function of the equivalent systematic code is different from that of the nonsystematic code.
- We will still clarify this issue with an expert.
(3) Correct are the proposed solutions 1 and 2:
- If one sets the formal parameter U = 1 in the extended function T_{\rm enh}(X, \, U), one obtains the solution proposition 1:
- T(X) = \frac{X^4 \cdot \frac{X^2 + X- X^2}{1- X}}{1- \frac{X^2 + X- X^2}{1- X}}= \frac{X^5 }{1- X - X} = \frac{X^5 }{1- 2X} \hspace{0.05cm}.
- Using the series expansion 1/(1 \, –x) = 1 + x + x^2 + \ \text{...}\ , we arrive at the proposed solution 2.
- That is, the simple path weighting enumerator function T(X) matches for both codes.