Exercise 2.8: Code Comparison: Binary, AMI and 4B3T

Eye diagrams of different codes

In the graphic three eye diagrams (without noise) are shown, where in each case a rectangular NRZ basic transmission pulse and for the total system frequency response (of transmitter, channel and decoder, without encoder) a cosine rolloff characteristic with rolloff factor $r = 0.8$ are the basis.

For the individual eye diagrams it is furthermore assumed (from top to bottom):

the redundancy-free binary code,
the AMI code (approx. $37 \%$ redundancy),
the 4B3T code (approx. $16 \%$ redundancy).

Further, the following conditions can be assumed:

AWGN noise is present, where holds:

$$10 \cdot {\rm lg}\hspace{0.1cm} ({s_0^2 \cdot T}/{N_0}) = 10\, {\rm dB}\hspace{0.05cm}.$$

The detection noise power has the following value for the binary system (due to the non-optimal receiver filter $12 \%$ markup):

$$\sigma_d^2 = 1.12 \cdot {N_0}/({2 T})\hspace{0.05cm}.$$

The symbol error probability of the binary system is:

$$p_{\rm S} = {\rm Q} \left( {s_0}/{ \sigma_d} \right) \hspace{0.05cm}.$$

In contrast, for the two redundant pseudo-ternary systems:

$$p_{\rm S} = {4}/{3} \cdot {\rm Q} \left( s_0/(2 \sigma_d) \right) \hspace{0.05cm}.$$

It should be taken into account that the noise rms value $\sigma_{d}$ may well change with respect to the redundancy-free binary system.

Notes:

The exercise belongs to the chapter "Symbolwise Coding with Pseudo- Ternary Codes".

Reference is also made to the chapter "Block Coding with 4B3T Codes".

For numerical evaluation of the Q-function you can use the HTML5/JavaScript applet "Complementary Gaussian Error Functions".

Questions

$\sigma_{d}/s_{0} \ = \ $

$\ p_{\rm S} \ = \ $

$\ \cdot 10^{-5}$

$\sigma_{d}/s_{0} \ = \ $

$\ p_{\rm S} \ = \ $

$\ \%$

$\sigma_{d}/s_{0} \ = \ $

$\ p_{\rm S} \ = \ $

$\ \%$

Solution

(1) From the given S/N ratio, we obtain:

$$10 \cdot {\rm lg}\hspace{0.1cm}({s_0^2 \cdot T}/{N_0}) = 10\, {\rm dB} \hspace{0.3cm}\Rightarrow \hspace{0.3cm}{N_0} = { s_0^2 \cdot T}/{10}$$

$$ \hspace{0.3cm}\Rightarrow \hspace{0.3cm}\sigma_d^2 = 1.12 \cdot {N_0}/({2 T}) = 0.056 \cdot s_0^2 \hspace{0.3cm}\Rightarrow \hspace{0.3cm}{ \sigma_d}/{s_0} \hspace{0.15cm}\underline { = 0.237}\hspace{0.05cm}.$$

(2) From this, it follows for the symbol error probability of the binary redundancy-free reference system:

$$p_{\rm S} = {\rm Q} \left( {s_0}/{ \sigma_d} \right)\approx {\rm Q}(4.22)\hspace{0.15cm}\underline { = 1.22 \cdot 10^{-5}} \hspace{0.05cm}.$$

(3) The symbol duration $T$ of the AMI encoded signal is equal to the bit duration $T_{\rm B}$ of the binary signal.

Therefore, the bandwidth ratios do not change and the same noise rms value is obtained as calculated in point (1):

$${ \sigma_d}/{s_0}\hspace{0.15cm}\underline { = 0.237} \hspace{0.05cm}.$$

(4) Due to the ternary decision, the argument of the Q-function is halved:

$$p_{\rm S} \approx{4}/{3}\cdot {\rm Q}(2.11)={4}/{3} \cdot 1.74 \cdot 10^{-2}\hspace{0.15cm}\underline { = 2.32 \cdot 10^{-2}} \hspace{0.05cm}.$$

Here, the factor $4/3$ takes into account that the inner symbol $0$ can be falsified in two directions.

(5) When 4B3T coding is applied, the symbol rate is reduced by $25 \%$.

By the same factor $0.75$, this makes the noise power smaller than calculated in (1) and (3). From this follows:

$${ \sigma_d}/{s_0} = \sqrt{0.75} \cdot 0.237 \hspace{0.15cm}\underline {\approx 0.205} \hspace{0.05cm}.$$

(6) Due to the smaller noise rms value, the error probability is now smaller than with the AMI code:

$$p_{\rm S} \approx {4}/{3} \cdot {\rm Q} \left( \frac{0.5}{ 0.205} \right) = {4}/{3} \cdot 0.833 \cdot 10^{-2}\hspace{0.15cm}\underline { = 1.11 \cdot 10^{-2}} \hspace{0.05cm}.$$

But the 4B3T code cannot achieve the significantly smaller error probability of the redundancy-free binary code due to the ternary decision (half eye opening).