Difference between revisions of "Aufgaben:Exercise 1.11: Syndrome Decoding"
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− | [[File:EN_KC_A_1_11.png|right|frame|Syndrome and coset leaders (incomplete list) of $\rm HC \ (7, \, 4, \, 3)$ ]] | + | [[File:EN_KC_A_1_11.png|right|frame|Syndrome and coset leaders <br>$($incomplete list$) of $\rm HC \ (7, \, 4, \, 3)$ ]] |
To decode a $(7, \, 4, \, 3)$ Hamming code, which is defined by its parity-check matrix | To decode a $(7, \, 4, \, 3)$ Hamming code, which is defined by its parity-check matrix |
Revision as of 13:23, 28 September 2022
[[File:EN_KC_A_1_11.png|right|frame|Syndrome and coset leaders
$($incomplete list$) of $\rm HC \ (7, \, 4, \, 3)$ ]]
To decode a $(7, \, 4, \, 3)$ Hamming code, which is defined by its parity-check matrix
:'"`UNIQ-MathJax26-QINU`"'
"syndrome decoding" is also suitable. Since all Hamming codes are perfect, the result is as good as with the $($in the general case$)$ more complicated maximum likelihood decoding.
For [[Channel_Coding/Decoding_of_Linear_Block_Codes#Principle_of_syndrome_decoding|"syndrome decoding"]] one proceeds as follows:
*From the received vector $\underline{y}$ one forms the syndrome $($it holds $m = n - k)$:
:'"`UNIQ-MathJax27-QINU`"'
*In [[Channel_Coding/Channel_Models_and_Decision_Structures#Binary_Symmetric_Channel_.E2.80.93_BSC|"BSC channel"]] the received word $\underline{y} = \underline{x} \, ({\rm codeword}) + \underline{e} \, ({\rm error\:vector})$ is also an element of ${\rm GF}(2^n)$, and it holds because of $ \underline{x} · \boldsymbol {{\rm H} }^{\rm T} =
\underline{0}$: :'"`UNIQ-MathJax28-QINU`"' *Many error patterns $\underline{e}$ lead to the same syndrome $\underline{s}$. One now groups those error patterns with the same syndrome $\underline{s}_{\mu}$ to the coset ${\it \Psi}_{\mu}$. *The coset leader $\underline{e}_{\mu}$ is the fault vector that has the lowest Hamming weight within the class ${\it \Psi}_{\mu}$ and is accordingly the most probable. If there are several of these, one chooses one of them arbitrarily. The above graph shows the incomplete list of coset leaders $\underline{e}_{\mu}$ for each $\underline{s}_{\mu}$. The most likely error vectors *$\underline{e}_{3}$ with syndrome $\underline{s}_{3} = (0, 1, 1)$, *$\underline{e}_{5}$ with syndrome $\underline{s}_{5} = (1, 0, 1)$, *$\underline{e}_{6}$ with syndrome $\underline{s}_{6} = (1, 1, 0)$, *$\underline{e}_{7}$ with syndrome $\underline{s}_{7} = (1, 1, 1)$ are to be determined in the subtasks '''(4)''' and '''(5)'''. Hints: * This exercise belongs to the chapter [[Channel_Coding/Decoding_of_Linear_Block_Codes|"Decoding of Linear Block Codes"]]. * Underlying is a Hamming code with parameters $n = 7$, $k = 4$ ⇒ $m = 3$. All code words have the following format: :'"`UNIQ-MathJax29-QINU`"' *The parity-check equations are illustrated on the information sheet for [[Aufgaben:Exercise_1.11Z:_Syndrome_Decoding_again|"Exercise 1.11Z"]] which considers the same constellation as in the present exercise. *In the last subtask '''(6)''', use the BSC parameter $ \varepsilon = 0.1$. ==='"`UNIQ--h-0--QINU`"'Questions=== '"`UNIQ--quiz-00000002-QINU`"' ==='"`UNIQ--h-1--QINU`"'Solution=== '"`UNIQ--html-00000003-QINU`"' '''(1)''' There are a total of $2^7 = 128$ different code words $\underline{x}$ and according to the BSC model also $2^7$ different received words $y$ and as many error vectors $\underline{e}$. *With $m = 3$ parity bits, there are $2^3 = 8$ distinct values for the syndrome, :'"`UNIQ-MathJax30-QINU`"' :and just as many "cosets". *Since in the Hamming code, which is perfect, all error vectors belong to one of the eight cosets ${\it \Psi}_{\mu}$ and, moreover, the number of all vectors in all cosets is the same ("Why should it be different?" Is that enough proof for you?), we get: :'"`UNIQ-MathJax31-QINU`"' *The cosets ${\it \Psi}_{0}$ include for example - see sample solution to [[Aufgaben:Exercise_1.11Z:_Syndrome_Decoding_again|"Exercise 1.11Z"]] - the vectors :'"`UNIQ-MathJax32-QINU`"' :'"`UNIQ-MathJax33-QINU`"' '''(2)''' According to the comments of the last partial result, the following applies equally: $N_{7} \ \underline{= 16}$. '''(3)''' Correct is <u>answer 3</u>: *The coset leader $\underline{e}_{\mu}$ is the error vector $\underline{e}$ with the lowest [[Channel_Coding/Objective_of_Channel_Coding#Important_definitions_for_block_coding|"Hamming weight"]] $w_{\rm H}(\underline{e})$ that leads to the syndrome $\underline{s}_{\mu}$. *The (7, 4, 3) Hamming code considered here is perfect. That is, all eight coset leaders therefore contain. :*either no "one" $(\underline{e}_{0}$ ⇒ no correction is required$)$, or :*exactly a single "one" $(\underline{e}_{1}, \hspace{0.05cm} \text{...} \hspace{0.05cm} , \underline{e}_{7}$ ⇒ an information or parity bit must be corrected$)$. '''(4)''' It holds $\underline{s} = \underline{e} · \boldsymbol{\rm H}^{\rm T}$: :'"`UNIQ-MathJax34-QINU`"' [[File:P_ID2398__KC_A_1_11d.png|right|frame|All coset leaders of the $(7, \, 4, \, 3)$ Hamming code '''Korrektur''' ]] '''(5)''' A comparison with the solution to the last subtask shows that $(0, 1, 0, 0, 0, 0, 0) \cdot \boldsymbol{\rm H}^{\rm T}$ as a syndrome gives the second row of the transposed matrix: :'"`UNIQ-MathJax35-QINU`"' :'"`UNIQ-MathJax36-QINU`"' :'"`UNIQ-MathJax37-QINU`"' :'"`UNIQ-MathJax38-QINU`"' :'"`UNIQ-MathJax39-QINU`"' :'"`UNIQ-MathJax40-QINU`"' The adjacent graph summarizes again the results of the subtasks '''(4)''' and '''(5)'''. '''(6)''' For the $(7, \, 4, \, 3)$ Hamming code under consideration, the correct information word is decided if at most one bit within the code word is corrupted during transmission. It follows: :'"`UNIQ-MathJax41-QINU`"' *Uncoded transmission of a block with $n = k = 4$ bits would result in the same BSC channel: :'"`UNIQ-MathJax42-QINU`"' *The comparison is not entirely fair, however, since with $n = 4$ a smaller falsification probability $\varepsilon$ would have to be applied than with $n = 7$ $($smaller symbol rate ⇒ smaller bandwidth ⇒ smaller noise power$)$.