Aufgaben:Exercise 4.19: Orthogonal Multilevel FSK

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Signal space constellations

In this last exercise of this chapter we consider  Frequency Shift Keying  (FSK) with  $M$  waveforms and assume that they are orthogonal to each other in pairs. In this case, the equivalent low–pass signals  $s_i(t)$ with $i = 1, \ \text{...} \ , M$  can be represented in the following form:

$$s_i(t) = \sqrt{E_{\rm S}} \cdot \xi_i(t) \hspace{0.05cm}.$$

$\xi_i(t)$  are complex basis functions for which in general  $i = 1, \ \text{...} \ , N$  holds. However, for orthogonal signaling,  $M = N$ is always true.

The diagram shows three different signal space constellations. However, not all three describe an orthogonal FSK. This is referred to in the subtask (1).

In the  "theory part",  the exact formula for the probability of a correct decision in the case of AWGN noise is given:

$${\rm Pr}({\cal{C}}) =\sum_{i = 0}^{M-1} (-1)^i \cdot {M-1 \choose i } \cdot \frac{1}{i+1} \cdot {\rm e }^{ - i/(i+1) \hspace{0.05cm}\cdot \hspace{0.05cm}E_{\rm S}/ N_0} \hspace{0.05cm}.$$

From this it is very easy to calculate the symbol error probability:

$$p_{\rm S} = {\rm Pr}({\cal{E}}) = 1 - {\rm Pr}({\cal{C}}) = \sum_{i = 1}^{M-1} (-1)^{i+1} \cdot {M-1 \choose i } \cdot \frac{1}{i+1} \cdot {\rm e }^{ - i/(i+1) \hspace{0.05cm}\cdot \hspace{0.05cm}E_{\rm S}/ N_0} \hspace{0.05cm}.$$

An upper bound  $(p_{\rm S, \ max} ≥ p_{\rm S})$  is obtained due to the alternating signs if we consider only the first term  $(i=1)$  of this sum:

$$p_{\rm S, \hspace{0.05cm}max} = (M-1)/2 \cdot {\rm e }^{-E_{\rm S}/(2N_{\rm 0})} \hspace{0.05cm}.$$

In subtask (4), this bound is to be evaluated for a given ratio  $E_{\rm B}/N_0$,  where  $E_{\rm B}$  is the average signal energy per bit:

$$E_{\rm B} = \frac{ E_{\rm S} } { {\rm log_2}\hspace{0.1cm}(M)} \hspace{0.05cm}.$$

Notes:

• The exercise belongs to the chapter  "Carrier Frequency Systems with Non-Coherent Demodulation".
• Reference is made in particular to the section  "Non-coherent demodulation of multi-level FSK".

Questions

1

Which of the above signal space constellations are valid for orthogonal FSK?

	Constellation  $\rm A$,
	Constellation  $\rm B$,
	Constellation  $\rm C$.

2

For  $E_{\rm S}/N_0 = 6$,  calculate the error probability of binary, ternary and quaternary FSK. $E_{\rm S}$  denotes the symbol energy.

$M = 2 \text{:} \hspace{0.4cm} p_{\rm S} \ = \ $ $\ \%$

$M = 3 \text{:} \hspace{0.4cm} p_{\rm S} \ = \ $ $\ \%$

$M = 4 \text{:} \hspace{0.4cm} p_{\rm S} \ = \ $ $\ \%$

3

For  $E_{\rm S}/N_0 = 6$,  calculate the given upper bounds  $p_{\rm S, \ max}$ for the error probabilities.

$M = 2 \text{:} \hspace{0.4cm} p_{\rm S, \ max} \ = \ $ $\ \%$

$M = 3 \text{:} \hspace{0.4cm} p_{\rm S, \ max} \ = \ $ $\ \%$

$M = 4 \text{:} \hspace{0.4cm} p_{\rm S, \ max} \ = \ $ $\ \%$

4

For  $E_{\rm B}/N_0 = 6$,  calculate the error probability of the binary, ternary, and quaternary FSK. $E_{\rm B}$  denotes the bit energy.

$M = 2 \text{:} \hspace{0.4cm} p_{\rm S, \ max} \ = \ $ $\ \%$

$M = 3 \text{:} \hspace{0.4cm} p_{\rm S, \ max} \ = \ $ $\ \%$

$M = 4 \text{:} \hspace{0.4cm} p_{\rm S, \ max} \ = \ $ $\ \%$

Solution

Solution

(1)  Solutions 1 and 3 are correct:

• In constellation  $\rm B$  the orthogonality is not given. Rather $M = 3$ and $N = 2$ are valid here.

(2)  For the binary FSK $(M = 2)$ applies with the abbreviation $x = E_{\rm S}/N_0 = 6$:

$$p_{\rm S} = (-1)^{2} \cdot {1 \choose 1 } \cdot {1}/{2} \cdot {\rm e }^{-x/2 } = {1}/{2} \cdot {\rm e }^{-3} \hspace{0.15cm}\underline{\approx 2.49 \%} \hspace{0.05cm}.$$

• Accordingly, for the ternary FSK $(M = 3)$ we obtain:

$$p_{\rm S} = (-1)^{2} \cdot {2 \choose 1 } \cdot {1}/{2} \cdot {\rm e }^{-(1/2) \hspace{0.05cm} \cdot \hspace{0.05cm} x} + (-1)^{3} \cdot {2 \choose 2 } \cdot {1}/{3}\cdot {\rm e }^{-(2/3) \hspace{0.05cm} \cdot \hspace{0.05cm} x}= {\rm e }^{-3} - {1}/{3} \cdot {\rm e }^{-4} \approx 0.0498 - 0.0061 \hspace{0.15cm}\underline{ =4.37\%} \hspace{0.05cm}.$$

• Finally, for the quaternary FSK $(M = 4)$ we obtain:

$$p_{\rm S} = (-1)^{2} \cdot {3 \choose 1 } \cdot \frac{{\rm e }^{-x/2}}{2} + (-1)^{3} \cdot {3 \choose 2 } \cdot \frac{{\rm e }^{-2x/3}}{3} + (-1)^{4} \cdot {4 \choose 3 } \cdot \frac{{\rm e }^{-3x/4 }}{4} = {3}/ {2} \cdot{\rm e }^{-3} - {\rm e }^{-4} + {\rm e }^{-4.5} \hspace{0.15cm}\underline{\approx 6.75\%} \hspace{0.05cm}.$$

(3)  For equal $E_{\rm S}/N_0 = 6$, $p_{\rm S, \ max} ≥ p_{\rm S}$ always holds:

$$M =2\text{:} \hspace{0.2cm} p_{\rm S, \hspace{0.05cm}max} \hspace{0.15cm}\underline{=2.49\%} = p_{\rm S} \hspace{0.05cm},$$

$$M =3\text{:} \hspace{0.2cm} p_{\rm S, \hspace{0.05cm}max} \hspace{0.15cm}\underline{=4.98\%} > 4.37\% = p_{\rm S} \hspace{0.05cm},$$

$$M =4\text{:} \hspace{0.2cm} p_{\rm S, \hspace{0.05cm}max} \hspace{0.15cm}\underline{=7.47\%} > {6.75\%} = p_{\rm S} \hspace{0.05cm}.$$

Analyzing the equation  $p_{\rm S, \hspace{0.05cm}max} = (M-1)/2 \cdot {\rm e }^{-E_{\rm S}/(2N_{\rm 0})}$  in more detail, we see that this bound exactly specifies the "Union Bound":

• For the binary system, $1/2 \cdot {\rm e }^{-E_{\rm S}/(2N_{\rm 0})}$ gives the falsification probability, for example from $\boldsymbol{s}_1$ to $\boldsymbol{s}_2$ or vice versa.
• For the M–level system, the distance between $\boldsymbol{s}_1$ and $\boldsymbol{s}_2$ is exactly the same. But also the points $\boldsymbol{s}_1, \ \text{... ,} \, \boldsymbol{s}_M$ are at the same distance from $\boldsymbol{s}_1$ or from $\boldsymbol{s}_2$.
• The "Union Bound" considers the distortion possibilities of a point to each of the generally $M–1$ other points by the factor $M -1$.

(4)  With  $E_{\rm B} = E_{\rm S}/{\rm log}_2(M)$  one obtains$p_{\rm S, \hspace{0.05cm}max} = (M-1)/2 \cdot {\rm e }^{-\log_2 \ (M) E_{\rm B}/(2N_{\rm 0})}$.

• The error probability becomes smaller as the number of levels increases, because at constant $E_{\rm B}$ the energy $E_{\rm S}$ per symbol increases by the factor ${\rm log}_2 \, (M)$.
• The factor $M-1$ (considers the falsification possibilities of a signal space point) has less influence than the increase of the negative exponent:

$$M =2\hspace{-0.1cm}: \hspace{0.2cm} p_{\rm S, \hspace{0.05cm}max} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} {1}/{ 2} \cdot {\rm e }^{-3} \hspace{0.15cm} \underline{= 2.49\%} \hspace{0.05cm},$$

$$M =3\hspace{-0.1cm}: \hspace{0.2cm} p_{\rm S, \hspace{0.05cm}max} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} {\rm e }^{-4.755} \hspace{0.5cm} \underline{= 0.86\%} \hspace{0.05cm},$$

$$M =4\hspace{-0.1cm}: \hspace{0.2cm} p_{\rm S, \hspace{0.05cm}max} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} {3}/{ 2} \cdot {\rm e }^{-6} \hspace{0.15cm} \underline{=0.37\%} \hspace{0.05cm}.$$