Digital Signal Transmission/Symbolwise Coding with Pseudo-Ternary Codes

1. Digital Signal Transmission
2. Coded and Multilevel Transmission
3. Symbolwise Coding with Pseudo-Ternary Codes

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General description of the pseudo multilevel codes

In symbol-wise coding, each incoming source symbol  $q_\nu$  generates a code symbol  $c_\nu$,  which depends not only on the current input symbol  $q_\nu$  but also on the  $N_{\rm C}$  preceding symbols  $q_{\nu-1}$, ... , $q_{\nu-N_{\rm C}} $.   $N_{\rm C}$  is referred to as the order  of the code.

Typical for a symbol-wise coding is that

• the symbol duration  $T$  of the encoder signal (and of the transmitted signal) matches the bit duration  $T_{\rm B}$  of the binary source signal, and

coding and decoding do not lead to major time delays, which are unavoidable when block codes are used.

The pseudo multilevel codes  – better known as Partial Response Codes  – are of special importance.

In the following, only pseudo ternary codes   ⇒   level number  $M = 3$  are considered, which can be described by the block diagram corresponding to the left graph. In the right graph an equivalent circuit is given, which is very suitable for an analysis of these codes.

Block diagram and equivalent circuit of a pseudo ternary encoder

One can see from the two representations:

• The pseudo ternary coder can be split into the nonlinear precoder and a linear coding network if – as shown in the right equivalent diagram – the delay by  $N_{\rm C} \cdot T$  and the weighting by  $K_{\rm C}$  are drawn twice for clarity.
  

• The nonlinear precoder  obtains the precoded symbols  $b_\nu$, which are also binary, by a modulo–2 addition (antivalence ) between the symbols  $q_\nu$  and  $K_{\rm C} \cdot b_{\nu-N_{\rm C}} $: 

$$q_\nu \in \{-1, +1\},\hspace{0.1cm} K_{\rm C} \in \{-1, +1\}\hspace{0.3cm}\Rightarrow \hspace{0.3cm}b_\nu \in \{-1, +1\}\hspace{0.05cm}.$$

• Like the source symbols  $q_\nu$,  the symbols  $b_\nu$  are statistically independent of each other. Thus, the precoder does not add any redundancy. However, it allows a simpler realization of the decoder and prevents error propagation after a transmission error.
  

• The actual recoding from binary  $(M_q = 2)$  to ternary  $(M = M_c = 3)$  is done by the linear coding network  by the conventional subtraction

$$c(t) ={1}/{2} \cdot \big [b(t) - K_{\rm C} \cdot b(t- N_{\rm C}\cdot T)\big] \in \{-1, \ 0, +1\}\hspace{0.05cm},$$

which can be described by the following  impulse response  or  transfer function  with respect to the input signal  $b(t)$  and the input signal  $c(t)$: 

$$h_{\rm C}(t) = {1}/{2} \cdot \big [\delta(t) - K_{\rm C} \cdot \delta(t- N_{\rm C}\cdot T)\big] \ \ \ \circ\!\!-\!\!\!-\!\!\!-\!\!\bullet\ \ \ H_{\rm C}(f) ={1}/{2} \cdot \left [1 - K_{\rm C} \cdot {\rm e}^{- {\rm j}\hspace{0.05cm}\cdot\hspace{0.05cm} 2\pi \hspace{0.05cm}\cdot \hspace{0.05cm}N_{\rm C}\hspace{0.05cm}\cdot \hspace{0.05cm}T}\right]\hspace{0.05cm}. $$

• The relative code redundancy is the same for all pseudo ternary codes. Substituting $M_q=2$,  $M_c=3$  and  $T_c =T_q$  into the  general definition equation,  we obtain

$$r_c = 1- \frac{R_q}{R_c} = 1- \frac{T_c}{T_q} \cdot \frac{{\rm log_2}\hspace{0.05cm} (M_q)}{{\rm log_2} \hspace{0.05cm}(M_c)} = 1- \frac{T_c}{T_q \cdot {\rm log_2} \hspace{0.05cm}(M_c)}\hspace{0.5cm}\Rightarrow \hspace{0.5cm} r_c = 1 -1/\log_2\hspace{0.05cm}(3) \approx 36.9 \%\hspace{0.05cm}.$$

$\text{Conclusion:}$  If the NRZ rectangle is assumed for the basic transmission pulse $g_s(t)$, the transmitted signal of all pseudoternary codes is:

$$s(t) = \sum_{\nu = -\infty}^{+\infty} a_\nu \cdot g_s ( t - \nu \cdot T)\hspace{0.05cm}.$$

This is both ternary   ⇒   $a_\nu \in \{-1, \ 0, +1\}$ and redundant   ⇒   statistical ties between the $a_\nu$.

Properties of the AMI code

The individual pseudo ternary codes differ in the  $N_{\rm C}$  and  $K_{\rm C}$ parameters.

The best-known representative is the first-order bipolar code with the code parameters  $N_{\rm C} = 1$  and  $K_{\rm C} = 1$, which is also known as the AMI code (from: Alternate Mark Inversion). This is used, for example, with  ISDN  (Integrated Services Digital Networks) on the so-called $S_0$ interface.

Signals with AMI and HDB3 coding

The graph above shows the binary source signal  $q(t)$. The second and third diagrams show:

• the likewise binary signal  $b(t)$  after the precoder, and
• the encoder signal  $c(t) = s(t)$  of the AMI code.

One can see the simple AMI coding principle:

• Each binary value "–1" of $q(t)$   ⇒   symbol  $\rm L$  is encoded by the ternary amplitude coefficient  $a_\nu = 0$. 
  
• The binary value "+1" of  $q(t)$   ⇒   symbol  $\rm H$  is alternately represented by  $a_\nu = +1$  and  $a_\nu = -1$. 
  
  

This ensures that the AMI-coded signal does not contain any long "+1"– or "–1" sequences, which would lead to problems with a channel free of the same signal.

On the other hand, the occurrence of long zero sequences is quite possible, where no clock information is transmitted over a longer period of time.
To avoid this second problem, some modified AMI codes have been developed, for example the B6ZS code  and the HDB3 code:

• In the HDB3 code  (green curve in the above graphic), four consecutive zeros in the AMI-coded signal are replaced by a subsequence that violates the AMI coding rule.
  

• In the gray shaded area, this is the sequence "+ 0 0 +", since the last symbol before the replacement was a "minus".
  

• This limits the number of consecutive zeros to  $3$  for the HDB3 code and to  $5$ for the  B6ZS Code. 
• The decoder detects this code violation and replaces "+ 0 0 +" with "0 0 0 0" again.
  

Power-spectral density of the AMI code

The frequency response of the linear code network of a pseudo ternary code is generally:

$$H_{\rm C}(f) = {1}/{2} \cdot \big [1 - K_{\rm C} \cdot {\rm e}^{-{\rm j}\hspace{0.03cm}\cdot \hspace{0.03cm} 2\pi\hspace{0.03cm}\cdot \hspace{0.03cm}f \hspace{0.03cm}\cdot \hspace{0.03cm} N_{\rm C}\hspace{0.03cm}\cdot \hspace{0.03cm}T} \big] ={1}/{2} \cdot \big [1 - K \cdot {\rm e}^{-{\rm j}\hspace{0.03cm}\cdot \hspace{0.03cm} \alpha} \big ]\hspace{0.05cm}.$$

This gives the power-spectral density (PSD) amplitude coefficients  $(K$  and  $\alpha$  are abbreviations according to the above equation$)$:

$$ {\it \Phi}_a(f) = | H_{\rm C}(f)|^2 = \frac{\big [1 - K \cos (\alpha) + {\rm j}\cdot K \sin (\alpha) \big ] \big [1 - K \cos (\alpha) - {\rm j}\cdot K \sin (\alpha) \big ] }{4} = \text{...} = {1}/{4} \cdot \big [2 - 2 \cdot K \cdot \cos (\alpha) \big ] $$

Power-spectral density of the AMI code

$$ \Rightarrow \hspace{0.3cm}{\it \Phi}_a(f) = | H_{\rm C}(f)|^2 = {1}/{2} \cdot \big [1 - K_{\rm C} \cdot \cos (2\pi f N_{\rm C} T)\big ] \hspace{0.4cm}\bullet\!\!-\!\!\!-\!\!\!-\!\!\circ \hspace{0.4cm} \varphi_a(\lambda \cdot T)\hspace{0.05cm}.$$

In particular, for the power-spectral density (PSD) of the AMI code $(N_{\rm C} = K_{\rm C} = 1)$, we obtain:

$${\it \Phi}_a(f) = {1}/{2} \cdot \big [1 - \cos (2\pi f T)\big ] = \sin^2 (\pi f T)\hspace{0.05cm}.$$

The graph shows

• the PSD  ${\it \Phi}_a(f)$  of the amplitude coefficients (red curve), and
  
• the PSD  ${\it \Phi}_s(f)$  of the total transmitted signal (blue), valid for NRZ rectangular pulses.
  

One recognizes from this representation

• the equality of the AMI code, since  ${\it \Phi}_a(f = 0) = {\it \Phi}_s(f = 0) = 0$. 
  
• the power  $P_{\rm S} = s_0^2/2$  of the AMI-coded transmitted signal (integral over  ${\it \Phi}_s(f)$  from  $- \infty$  to  $+\infty$).

Notes:

• The PSD of the HDB3 and B6ZS codes differs only slightly from that of the AMI code.
  
• You can use the interactive applet  Signals, ACF, and PSD of pseudo ternary codes  to clarify the topic discussed here.

Properties of the duobinary code

Power-spectral density of the duobinary code

The duobinary code is defined by the code parameters  $N_{\rm C} = 1$  and  $K_{\rm C} = -1$.  This gives the power-spectral density (PSD) of the amplitude coefficients or the PSD of the transmitted signal:

$${\it \Phi}_a(f) ={1}/{2} \cdot \big [1 + \cos (2\pi f T)\big ] = \cos^2 (\pi f T)\hspace{0.05cm},$$

$$ {\it \Phi}_s(f) = s_0^2 \cdot T \cdot \cos^2 (\pi f T)\cdot {\rm si}^2 (\pi f T)= s_0^2 \cdot T \cdot {\rm si}^2 (2 \pi f T) \hspace{0.05cm}.$$

The graph shows the power-spectral density

• of the amplitude coefficients   ⇒   ${\it \Phi}_a(f)$  as a red curve,
  
• of the total transmitted signal   ⇒   ${\it \Phi}_s(f)$  as a blue curve.
  
  

In the second graph, the signals  $q(t)$,  $b(t)$  and  $c(t) = s(t)$  are sketched. We refer here again to the  Signals, ACF and PSD of pseudo ternary codes, which also clarifies the properties of the duobinary code.

Signals in duobinary coding

From these illustrations it is clear:

• In the duobinary code, any number of symbols with the same polarity ("+1" or "–1") can directly succeed each other.
• Therefore,  ${\it \Phi}_a(f = 0)=1$  and  ${\it \Phi}_s(f = 0) = 1/2 \cdot s_0^2 \cdot T$.
  
• In contrast, for the duobinary code, the alternating sequence " ... , +1, –1, +1, –1, +1, ... " does not occur, which is particularly disturbing with respect to intersymbol interference.
• Therefore, in the duobinary code:  ${\it \Phi}_s(f = 1/(2T) = 0$.
  
• The power-spectral density  ${\it \Phi}_s(f)$  of the pseudoternary duobinary code is identical to the PSD with redundancy-free binary coding at half rate $($symbol duration  $2T)$.
  

Error probability of the pseudo ternary codes

Eye diagrams for AMI, duobinary and 4B3T coding

The graph shows the  eye diagrams  (without noise) when using

• AMI code (left)
• and duobinary code (center)
• compared to the 4B3T code (right).

The same assumptions apply as on the section  Error probability of the 4B3T codes. In particular:

• Cosine rolloff characteristics of the overall frequency response (of transmitter and receiver) with rolloff factor $r = 0.8$.

The results can be interpreted as follows:

• One can see in the left graph that for the AMI code the horizontal lines at  $+s_0$  and  $-s_0$  are missing (equal signal freedom!), while for the duobinary code (middle graph) no transitions from  $+s_0$  to  $-s_0$  (and vice versa) are possible. With the 4B3T code, you can see clearly more lines in the eye diagram than in the two left pictures. The redundancy-free ternary code would give almost the same result.
  

• On the page quoted above, the symbol error probability of the 4B3T code for the power parameter  $10 \cdot \lg \hspace{0.05cm}(s_0^2 \cdot T/N_0) = 13 \ \rm dB$  (valid for peak limitation!) was calculated as follows:

$${ \sigma_d}/{s_0} = 0.145 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} p_{\rm S} = {4}/{3} \cdot {\rm Q} \left( \frac{s_0/2}{ \sigma_d} \right) \approx {4}/{3} \cdot {\rm Q} \left( 3.45 \right) = 3.7 \cdot 10^{-4} \hspace{0.05cm}.$$

• Using a pseudo ternary code results in a larger error probability because here the noise rms value is not reduced compared to redundancy-free binary coding:

$${ \sigma_d}/{s_0} = 0.167 \hspace{0.3cm}\Rightarrow \hspace{0.3cm} p_{\rm S} = {4}/{3} \cdot {\rm Q} \left( \frac{s_0/2}{ \sigma_d} \right) \approx {4}/{3} \cdot {\rm Q} \left( 3 \right) = 1.8 \cdot 10^{-3} \hspace{0.05cm}.$$

• When the Nyquist condition is satisfied, the AMI and duobinary codes do not differ in terms of error probability despite completely different eye diagrams.
  

• Wie aber im Abschnitt  Augenöffnung bei den Pseudoternärcodes  noch gezeigt werden wird, ist das Fehlerverhalten der beiden Codes immer dann extrem unterschiedlich, wenn  Impulsinterferenzen  eine Rolle spielen.
  

Aufgaben zum Kapitel

Aufgabe 2.7: AMI-Code

Aufgabe 2.7Z: Leistungsdichtespektren der Pseudoternärcodes

Aufgabe 2.8: Vergleich von Binärcode, AMI-Code und 4B3T-Code