Difference between revisions of "Aufgaben:Exercise 3.5: GMSK Modulation"

From LNTwww
m (Text replacement - "Category:Exercises for Mobile Communications" to "Category:Mobile Communications: Exercises")
m (Text replacement - "Dirac impulse" to "Dirac delta")
Line 12: Line 12:
 
The graphic illustrates the situation:
 
The graphic illustrates the situation:
  
*The digital message is represented by the amplitude coefficients  $a_{\mu} ∈ \{±1\}$  which are applied to a "Dirac comb"  (Dirac impulse train).  It should be noted that the sequence drawn in is assumed for the subtask  '''(3)'''.
+
*The digital message is represented by the amplitude coefficients  $a_{\mu} ∈ \{±1\}$  which are applied to a "Dirac comb"  (Dirac delta train).  It should be noted that the sequence drawn in is assumed for the subtask  '''(3)'''.
  
 
*The symmetrical rectangular pulse with duration  $T = T_{\rm B}$  (GSM bit duration)  is dimensionless:
 
*The symmetrical rectangular pulse with duration  $T = T_{\rm B}$  (GSM bit duration)  is dimensionless:

Revision as of 08:04, 26 May 2021

Different signals of GMSK-Modulation

The modulation method used for GSM is  "Gaussian Minimum Shift Keying",  short  $\rm GMSK$.  This is a special type of  $\rm FSK$  ("Frequency Shift Keying")  with  $\rm CP-FSK$  ("Continuous Phase Matching"), where:

  • The modulation index has the smallest value that just satisfies the orthogonality condition:   $h = 0.5$   ⇒   "Minimum Shift Keying"  $\rm (MSK)$,
  • A Gaussian low-pass with the impulse response  $h_{\rm G}(t)$  is inserted before the FSK modulator, with the aim of saving even more bandwidth.


The graphic illustrates the situation:

  • The digital message is represented by the amplitude coefficients  $a_{\mu} ∈ \{±1\}$  which are applied to a "Dirac comb"  (Dirac delta train).  It should be noted that the sequence drawn in is assumed for the subtask  (3).
  • The symmetrical rectangular pulse with duration  $T = T_{\rm B}$  (GSM bit duration)  is dimensionless:
$$g_{\rm R}(t) = \left\{ \begin{array}{c} 1 \\ 0 \\ \end{array} \right.\quad \begin{array}{*{5}c} {\rm{{\rm{f\ddot{u}r}}}} \\ {\rm{{\rm{f\ddot{u}r}}}} \\ \end{array}\begin{array}{*{5}c} |\hspace{0.05cm} t \hspace{0.05cm}| < T/2 \hspace{0.05cm}, \\ |\hspace{0.05cm} t \hspace{0.05cm}| > T/2 \hspace{0.05cm}. \\ \end{array}$$
  • This results for the rectangular signal
$$q_{\rm R} (t) = q_{\rm \delta} (t) \star g_{\rm R}(t) = \sum_{\nu} a_{\nu}\cdot g_{\rm R}(t - \nu \cdot T)\hspace{0.05cm}.$$
  • The Gaussian low-pass is given by its frequency response or impulse response:
$$H_{\rm G}(f) = {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}[{f}/ ({2 f_{\rm G})} ]^2} \hspace{0.2cm}\bullet\!\!-\!\!\!-\!\!\!-\!\!\circ\, \hspace{0.2cm} h_{\rm G}(t) = 2 \cdot f_{\rm G} \cdot {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}(2 f_{\rm G}\hspace{0.05cm}\cdot \hspace{0.05cm}t)^2}\hspace{0.05cm},$$
where the system theoretical cut-off frequency  $f_{\rm G}$  is used.  In the GSM specification, however, the 3dB cut-off frequency is specified with  $f_{\rm 3dB} = 0.3/T$ .  From this,  $f_{\rm G}$  can be calculated directly - see subtask  (2).
  • The signal after the Gaussian low-pass is thus
$$q_{\rm G} (t) = q_{\rm R} (t) \star h_{\rm G}(t) = \sum_{\nu} a_{\nu}\cdot g(t - \nu \cdot T)\hspace{0.05cm}.$$
  • Here  $g(t)$  is referred to as "frequency pulse":
$$g(t) = q_{\rm R} (t) \star h_{\rm G}(t) \hspace{0.05cm}.$$
  • With the low-pass filtered signal  $q_{\rm G}(t)$, the carrier frequency  $f_{\rm T}$  and the frequency deviation  $\Delta f_{\rm A}$  for the instantaneous frequency at the output of the FSK modulator can thus be written:
$$f_{\rm A}(t) = f_{\rm T} + \Delta f_{\rm A} \cdot q_{\rm G} (t)\hspace{0.05cm}.$$


Some Gaussian integral values

Notes:

  • This exercise belongs to the chapter  Characteristics of GSM.
  • Reference is also made to the chapter  Radio Interface  in the book "Examples of Communication Systems".
  • For your calculations use the exemplary values  $f_{\rm T} = 900 \ \ \rm MHz$  and  $\Delta f_{\rm A} = 68 \ \rm kHz$.
  • Use the Gaussian integral to solve the task  $($some numerical values are given in the table$)$.
$$\phi(x) =\frac {1}{\sqrt{2 \pi}} \cdot \int^{x} _{-\infty} {\rm e}^{-u^2/2}\,{\rm d}u \hspace{0.05cm}.$$


Questionnaire

1

In what range of values the instantaneous frequency  $f_{\rm A}(t)$  can fluctuate?  Which requirements must be met?

${\rm Max} \ \big[f_{\rm A}(t)\big] \ = \hspace{0.2cm} $

$\ \rm MHz$
${\rm Min} \ \big[f_{\rm A}(t)\big] \ = \hspace{0.28cm} $

$\ \rm MHz$

2

Which (normalized) system-theoretical cut-off frequency of the Gaussian low-pass results from the requirement  $f_{\rm 3dB} \cdot T = 0.3$?

$f_{\rm G} \cdot T \ = \ $

3

Calculate the frequency pulse  $g(t)$  using the function  $\phi (x)$.  What is the result for  $g(t = 0)$?

$g(t = 0) \ = \ $

4

Which signal value results for  $q_{\rm G}(t = 3T)$  with  $a_{3} = -1$  and  $a_{\mu \ne 3} = +1$?  What is the instantaneous frequency  $f_{\rm A}(t = 3T)$?

$q_{\rm G}(t = 3T) \ = \ $

5

Calculate the values  $g(t = ±T)$  of the frequency pulse.

$g(t = ±T) \ = \ $

6

The amplitude coefficients are alternating.  What is the maximum amount of  $q_{\rm G}(t)$ ?  Consider  $g(t ≥ 2 T) \approx 0$.

${\rm Max} \ |q_{\rm G}(t)| \ = \ $


Solution

(1)  If all amplitude coefficients  $a_{\mu}$  are equal to  $+1$, then  $q_{\rm R}(t) = 1$  is a constant.  Thus, the Gaussian low-pass has no influence and  $q_{\rm G}(t) = 1$  results.

  • The maximum frequency is thus
$${\rm Max}\ [f_{\rm A}(t)] = f_{\rm T} + \Delta f_{\rm A} \hspace{0.15cm} \underline {= 900.068\,{\rm MHz}} \hspace{0.05cm}.$$
  • The minimum instantaneous frequency is
$${\rm Min}\ [f_{\rm A}(t)] = f_{\rm T} - \Delta f_{\rm A} \hspace{0.15cm} \underline { = 899.932\,{\rm MHz}} \hspace{0.05cm}$$
is obtained when all amplitude coefficients are negative.  In this case $q_{\rm R}(t) = q_{\rm G}(t) = -1$.


(2)  The frequency at which the logarithmic power transfer function is  $3 \ \rm dB$  less than for  $f = 0$  is called the "3dB cut-off frequency".

  • This can also be expressed as follows:
$$\frac {|H(f = f_{\rm 3dB})|}{|H(f = 0)|}= \frac{1}{\sqrt{2}} \hspace{0.05cm}.$$
  • In particular the Gauss low-pass because of  $H(f = 0) = 1$:
$$ H(f = f_{\rm 3dB})= {\rm e}^{-\pi\cdot ({f_{\rm 3dB}}/{2 f_{\rm G}})^2} = \frac{1}{\sqrt{2}}\hspace{0.3cm} \Rightarrow \hspace{0.3cm}(\frac{f_{\rm 3dB}}{2 f_{\rm G}})^2 = \frac{{\rm ln}\hspace{0.1cm}\sqrt{2}}{\pi} \hspace{0.3cm}\Rightarrow \hspace{0.3cm}f_{\rm G} = \sqrt{\frac{\pi}{4 \cdot {\rm ln}\hspace{0.1cm}\sqrt{2}}}\cdot f_{\rm 3dB}\hspace{0.05cm}.$$
  • The numerical evaluation leads to  $f_{\rm G} \approx 1.5 \cdot f_{\rm 3dB}$.
  • From  $f_{\rm 3dB} \cdot T = 0.3$  follows  $f_{\rm G} \cdot T \underline{\approx 0.45}$.


(3)  The frequency pulse  ${\rm g}(t)$  results from the convolution of the rectangular function  $g_{\rm R}(t)$  with the impulse response  $h_{\rm G}(t)$:

$$g(t) = g_{\rm R} (t) \star h_{\rm G}(t) = 2 f_{\rm G} \cdot \int^{t + T/2} _{t - T/2} {\rm e}^{-\pi\cdot (2 f_{\rm G}\cdot \tau)^2}\,{\rm d}\tau \hspace{0.05cm}.$$
  • With the substitution  $u^{2} = 8π \cdot {f_{G}}^{2} \cdot \tau^{2}$  and the function  $\phi (x)$  you can also write for this:
$$g(t) = \ \frac {1}{\sqrt{2 \pi}} \cdot \int^{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2)} _{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)} {\rm e}^{-u^2/2}\,{\rm d}u = \ \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2))- \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)) \hspace{0.05cm}.$$
  • Considering  $\phi (-x) = 1 - \phi (x)$  and  $f_{\rm G} \cdot T = 0.45$,  you get for the time  $t = 0$:
$$g(t = 0) = \ \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(-\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)= \ 2 \cdot \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)-1 \approx 2 \cdot \phi(1.12)-1 \hspace{0.15cm} \underline {= 0.737} \hspace{0.05cm}.$$


(4)  With  $a_{3} = +1$  the result would be  $q_{\rm G}(t = 3 T) = 1$.  Due to the linearity therefore applies:

$$q_{\rm G}(t = 3 T ) = 1 - 2 \cdot g(t = 0)= 1 - 2 \cdot 0.737 \hspace{0.15cm} \underline {= -0.474} \hspace{0.05cm}.$$


(5)  With the result of  (3)  and  $f_{\rm G} \cdot T = 0.45$  you get

$$g(t = T) = \ \phi(3 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T) \approx \phi(3.36)-\phi(1.12) = 0.999 - 0.868 \hspace{0.15cm} \underline { = 0.131} \hspace{0.05cm}.$$
  • The pulse value  $g(t = -T)$  is exactly the same due to the symmetry of the Gaussian low-pass.


(6)  With alternating sequence, the absolute values  $|q_{\rm G}(\mu \cdot T)|$  are all the same for all multiples of the bit duration  $T$  for reasons of symmetry.

  • All intermediate values at  $t \approx \mu \cdot T$  are smaller.
  • Taking  $g(t ≥ 2T) \approx 0$  into account, each individual pulse value  $g(0)$  is reduced by the preceding pulse with  $g(t = T)$, and by the following pulse with  $g(t = -T)$.
  • So there will be "intersymbol interference" and you get
$${\rm Max} \hspace{0.12cm}[q_{\rm G}(t)] = g(t = 0) - 2 \cdot g(t = T) = 0.737 - 2 \cdot 0.131 \hspace{0.15cm} \underline {= 0.475 }\hspace{0.05cm}.$$