Difference between revisions of "Aufgaben:Exercise 3.4: GMSK Modulation"
m (Guenter moved page Aufgabe 3.4: GMSK–Modulation to Exercise 3.4: GMSK Modulation) |
|||
(6 intermediate revisions by the same user not shown) | |||
Line 3: | Line 3: | ||
}} | }} | ||
− | [[File: | + | [[File:EN_Bei_A_3_4.png|right|frame|Various signals of the GMSK modulation]] |
− | The modulation method used for GSM is known as Gaussian Minimum Shift Keying (GMSK). This is a type of | + | The modulation method used for GSM is known as "Gaussian Minimum Shift Keying" $\rm (GMSK)$. This is a type of "Frequency Shift Keying" $\rm (FSK)$ with continuous phase adjustment $(\text{CP-FSK)}$, in which |
− | *the modulation index is smallest possible to still satisfy the orthogonality condition <br> $h = 0.5$ ⇒ | + | *the modulation index is smallest possible to still satisfy the orthogonality condition <br> $h = 0.5$ ⇒ "Minimum Shift Keying", |
+ | |||
*a Gaussian low-pass filter with impulse response $h_{\rm G}(t)$ is introduced before the FSK modulator, <br>to further save bandwidth. | *a Gaussian low-pass filter with impulse response $h_{\rm G}(t)$ is introduced before the FSK modulator, <br>to further save bandwidth. | ||
− | The | + | The graph illustrates the facts: |
− | *The digital message is represented by the amplitude coefficients $a_{\nu} ∈ ±1$ to which a Dirac | + | *The digital message is represented by the amplitude coefficients $a_{\nu} ∈ ±1$ to which a Dirac delta comb is applied. Note that the plotted (red) sequence is assumed for subtask '''(3)'''. |
− | *Let the rectangular pulse be dimensionless, symmetric and have the GSM bit duration $T_{\rm B} = T$: | + | *Let the rectangular pulse be dimensionless, symmetric and have the GSM bit duration $T_{\rm B} = T$: |
:$$g_{\rm R}(t) = \left\{ \begin{array}{c} 1 \\ 0 \\ \end{array} \right.\quad \begin{array}{*{5}c} {\rm{{\rm{for}}}} \\ {\rm{{\rm{for}}}} \\ \end{array}\begin{array}{*{5}c} |\hspace{0.05cm} t \hspace{0.05cm}| < T/2 \hspace{0.05cm}, \\ |\hspace{0.05cm} t \hspace{0.05cm}| > T/2 \hspace{0.05cm}. \\ \end{array}$$ | :$$g_{\rm R}(t) = \left\{ \begin{array}{c} 1 \\ 0 \\ \end{array} \right.\quad \begin{array}{*{5}c} {\rm{{\rm{for}}}} \\ {\rm{{\rm{for}}}} \\ \end{array}\begin{array}{*{5}c} |\hspace{0.05cm} t \hspace{0.05cm}| < T/2 \hspace{0.05cm}, \\ |\hspace{0.05cm} t \hspace{0.05cm}| > T/2 \hspace{0.05cm}. \\ \end{array}$$ | ||
− | + | *This gives the following for the rectangular source signal: | |
:$$q_{\rm R} (t) = q_{\rm \delta} (t) \star g_{\rm R}(t) = \sum_{\nu} a_{\nu}\cdot g_{\rm R}(t - \nu \cdot T)\hspace{0.05cm}.$$ | :$$q_{\rm R} (t) = q_{\rm \delta} (t) \star g_{\rm R}(t) = \sum_{\nu} a_{\nu}\cdot g_{\rm R}(t - \nu \cdot T)\hspace{0.05cm}.$$ | ||
− | *The Gaussian low pass is given by its frequency response | + | *The Gaussian low-pass is given by its frequency response and its impulse response: |
:$$H_{\rm G}(f) = {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}[f/(2 f_{\rm G})]^2} \hspace{0.2cm}\bullet\!\!-\!\!\!-\!\!\!-\!\!\circ\, \hspace{0.2cm} h_{\rm G}(t) = 2 f_{\rm G} \cdot {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}(2 f_{\rm G}\cdot t)^2}\hspace{0.05cm},$$ | :$$H_{\rm G}(f) = {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}[f/(2 f_{\rm G})]^2} \hspace{0.2cm}\bullet\!\!-\!\!\!-\!\!\!-\!\!\circ\, \hspace{0.2cm} h_{\rm G}(t) = 2 f_{\rm G} \cdot {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}(2 f_{\rm G}\cdot t)^2}\hspace{0.05cm},$$ | ||
− | :where the system theoretic cutoff frequency $f_{\rm G}$ is used. However, in the GSM specification, the $3 \hspace{0.05cm}\rm dB$ cutoff frequency is given as $f_{\rm 3\hspace{0.05cm} dB} = 0.3/T$ | + | :where the system theoretic cutoff frequency $f_{\rm G}$ is used. |
+ | |||
+ | *However, in the GSM specification, the $3 \hspace{0.05cm}\rm dB$ cutoff frequency is given as $f_{\rm 3\hspace{0.05cm} dB} = 0.3/T$. From this $f_{\rm G}$ can be calculated directly. | ||
*The signal after the Gaussian low-pass is thus: | *The signal after the Gaussian low-pass is thus: | ||
:$$q_{\rm G} (t) = q_{\rm R} (t) \star h_{\rm G}(t) = \sum_{\nu} a_{\nu}\cdot g(t - \nu \cdot T)\hspace{0.05cm}.$$ | :$$q_{\rm G} (t) = q_{\rm R} (t) \star h_{\rm G}(t) = \sum_{\nu} a_{\nu}\cdot g(t - \nu \cdot T)\hspace{0.05cm}.$$ | ||
− | + | *$g(t)$ is called the "frequency pulse". For this holds: | |
:$$g(t) = q_{\rm R} (t) \star h_{\rm G}(t) \hspace{0.05cm}.$$ | :$$g(t) = q_{\rm R} (t) \star h_{\rm G}(t) \hspace{0.05cm}.$$ | ||
− | * | + | *For the instantaneous frequency at the FSK modulator output can thus be written |
− | + | :$$f_{\rm A}(t) = f_{\rm T} + \Delta f_{\rm A} \cdot q_{\rm G} (t)\hspace{0.05cm},$$ | |
+ | :*with the low-pass filtered signal $q_{\rm G}(t)$, | ||
+ | :*the carrier frequency $f_{\rm T}$, and | ||
+ | :*the frequency deviation $\Delta f_{\rm A}$. | ||
+ | [[File:P_ID1230__Bei_A_3_4b.png|right|frame|Table of the Gaussian error function]] | ||
+ | |||
+ | *For your calculations, use the example values $f_{\rm T} = 900 \ \rm MHz$ and $\Delta f_{\rm A} = 68 \ \rm kHz$. | ||
− | |||
+ | <u>Hints:</u> | ||
+ | *This exercise belongs to the chapter [[Examples_of_Communication_Systems/Radio_Interface|"Radio Interface"]]. | ||
− | + | *Reference is made in particular to the section [[Examples_of_Communication_Systems/Radio_Interface#Gaussian_Minimum_Shift_Keying_.28GMSK.29|"Gaussian Minimum Shift Keying"]] | |
− | |||
− | |||
− | |||
− | |||
− | |||
− | *Reference is made in particular to the | ||
− | *Use the Gaussian integral to solve this exercise (see adjacent table): | + | *Use the Gaussian integral to solve this exercise $($see adjacent table$)$: |
:$$\phi(x) =\frac {1}{\sqrt{2 \pi}} \cdot \int^{x} _{-\infty} {\rm e}^{-u^2/2}\,{\rm d}u \hspace{0.05cm}.$$ | :$$\phi(x) =\frac {1}{\sqrt{2 \pi}} \cdot \int^{x} _{-\infty} {\rm e}^{-u^2/2}\,{\rm d}u \hspace{0.05cm}.$$ | ||
Line 57: | Line 61: | ||
<quiz display=simple> | <quiz display=simple> | ||
− | {In what range can the instantaneous frequency $f_{\rm A}(t)$ vary? What conditions must be met for this to happen? | + | {In what range can the instantaneous frequency $f_{\rm A}(t)$ vary? What conditions must be met for this to happen? |
|type="{}"} | |type="{}"} | ||
${\rm Max} \ \big [f_{\rm A}(t) \big ] \ = \ $ { 900.068 3% } | ${\rm Max} \ \big [f_{\rm A}(t) \big ] \ = \ $ { 900.068 3% } | ||
+ | ${\rm Min} \ \big [f_{\rm A}(t) \big ] \ = \ $ { 899.932 3% } | ||
{Which system theoretic cutoff frequency of the Gaussian low-pass results from the requirement $f_{\rm 3\hspace{0.05cm} dB} \cdot T = 0.3$? | {Which system theoretic cutoff frequency of the Gaussian low-pass results from the requirement $f_{\rm 3\hspace{0.05cm} dB} \cdot T = 0.3$? | ||
Line 65: | Line 70: | ||
$f_{\rm G} \cdot T \ = \ $ { 0.45 3% } | $f_{\rm G} \cdot T \ = \ $ { 0.45 3% } | ||
− | {Calculate the frequency pulse $g(t)$ using the function $\Phi (x)$. What is the | + | {Calculate the frequency pulse $g(t)$ using the function $\Phi (x)$. What is the $g(t = 0)$ value? |
|type="{}"} | |type="{}"} | ||
$g(t = 0) \ = \ $ { 0.737 3% } | $g(t = 0) \ = \ $ { 0.737 3% } | ||
− | {What is the | + | {What is the $q_{\rm G}(t = 3T)$ value if all coefficients except $a_{3} = -1$ continue $a_{\nu \neq 3} = +1$ What is here the instantaneous frequency $f_{\rm A}(t = 3T)$? |
|type="{}"} | |type="{}"} | ||
$q_{\rm G}(t = 3T) \ = \ $ { -0.48822--0.45978 } | $q_{\rm G}(t = 3T) \ = \ $ { -0.48822--0.45978 } | ||
Line 77: | Line 82: | ||
$ g(t = ±T) \ = \ $ { 0.131 3% } | $ g(t = ±T) \ = \ $ { 0.131 3% } | ||
− | {What is the maximum | + | {What is the maximum $q_{\rm G}(t)$ value with alternating coefficients? Consider that $g(t ≥ 2 T) \approx 0$. |
|type="{}"} | |type="{}"} | ||
${\rm Max} \ |q_{\rm G}(t)| \ = \ $ { 0.475 3% } | ${\rm Max} \ |q_{\rm G}(t)| \ = \ $ { 0.475 3% } | ||
Line 86: | Line 91: | ||
===Solution=== | ===Solution=== | ||
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' If all amplitude coefficients $a_{\nu} | + | '''(1)''' If all amplitude coefficients $a_{\nu}=+1$, then $q_{\rm R}(t) = 1$ is a constant. |
− | *The Gaussian low-pass therefore has no effect and $q_{\rm G}(t) | + | *The Gaussian low-pass therefore has no effect and $q_{\rm G}(t) \equiv 1$. |
+ | |||
*The maximum frequency is therefore | *The maximum frequency is therefore | ||
:$${\rm Max}\hspace{0.05cm}[f_{\rm A}(t)] = f_{\rm T} + \Delta f_{\rm A} \hspace{0.15cm} \underline{= 900.068\,{\rm MHz}} \hspace{0.05cm}.$$ | :$${\rm Max}\hspace{0.05cm}[f_{\rm A}(t)] = f_{\rm T} + \Delta f_{\rm A} \hspace{0.15cm} \underline{= 900.068\,{\rm MHz}} \hspace{0.05cm}.$$ | ||
− | *The minimum of the instantaneous frequency results when all | + | *The minimum of the instantaneous frequency results when all coefficients are negative: |
:$${\rm Min}\hspace{0.05cm}[f_{\rm A}(t)] = f_{\rm T} - \Delta f_{\rm A} \hspace{0.15cm} \underline { = 899.932\,{\rm MHz}} \hspace{0.05cm}$$ | :$${\rm Min}\hspace{0.05cm}[f_{\rm A}(t)] = f_{\rm T} - \Delta f_{\rm A} \hspace{0.15cm} \underline { = 899.932\,{\rm MHz}} \hspace{0.05cm}$$ | ||
− | *In this case, $q_{\rm R}(t) = q_{\rm G}(t) = -1$. | + | *In this case, $q_{\rm R}(t) = q_{\rm G}(t) = -1$. |
− | '''(2)''' The frequency at which the logarithmized power transfer function is $3 \ \rm dB$ smaller than $f = 0$ is called the $3\hspace{0.05cm}\rm dB$ cutoff frequency. | + | '''(2)''' The frequency at which the logarithmized power transfer function is $3 \ \rm dB$ smaller than at $f = 0$ is called the "$3\hspace{0.05cm}\rm dB$" cutoff frequency. |
*This can also be expressed as follows: | *This can also be expressed as follows: | ||
:$$\frac {|H(f = f_{\rm 3\hspace{0.05cm}dB})|}{|H(f = 0)|}= \frac{1}{\sqrt{2}} \hspace{0.05cm}.$$ | :$$\frac {|H(f = f_{\rm 3\hspace{0.05cm}dB})|}{|H(f = 0)|}= \frac{1}{\sqrt{2}} \hspace{0.05cm}.$$ | ||
− | *In particular, for the Gaussian | + | *In particular, for the Gaussian low-pass because of $H(f = 0) = 1$: |
:$$H(f = f_{\rm 3dB})= {\rm e}^{-\pi\cdot ({f_{\rm 3dB}}/{2 f_{\rm G}})^2} = \frac{1}{\sqrt{2}}\hspace{0.3cm} | :$$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}.$$ | \Rightarrow \hspace{0.3cm}(\frac{f_{\rm 3dB}}{2 f_{\rm G}})^2 = \frac{{\rm ln}\hspace{0.1cm}\sqrt{2}}{\pi} \hspace{0.3cm}\Rightarrow \hspace{0.3cm}f_{\rm G} = \sqrt{\frac{\pi}{4 \cdot {\rm ln}\hspace{0.1cm}\sqrt{2}}}\cdot f_{\rm 3dB}\hspace{0.05cm}.$$ | ||
− | *The numerical evaluation leads to $f_{\rm G} \approx 1.5 \cdot f_{\rm 3\hspace{0.05cm}dB}$. | + | *The numerical evaluation leads to $f_{\rm G} \approx 1.5 \cdot f_{\rm 3\hspace{0.05cm}dB}$. |
− | *From $f_{\rm 3\hspace{0.05cm}dB} \cdot T = 0.3$ thus follows $f_{\rm G} \cdot T \hspace{0.15cm}\underline{\approx 0.45}$. | + | |
+ | *From $f_{\rm 3\hspace{0.05cm}dB} \cdot T = 0.3$ thus follows $f_{\rm G} \cdot T \hspace{0.15cm}\underline{\approx 0.45}$. | ||
− | '''(3)''' The frequency pulse is obtained by convolution of | + | '''(3)''' The frequency pulse is obtained by convolution of the rectangular function $g_{\rm R}(t)$ and the impulse response $h_{\rm G}(t)$: |
:$$g(t) = g_{\rm R} (t) \star h_{\rm G}(t) = 2 f_{\rm G} \cdot \int \limits^{t + T/2} _{t - T/2} {\rm e}^{-\pi\cdot (2 f_{\rm G}\cdot \tau)^2}\,{\rm d}\tau \hspace{0.05cm}.$$ | :$$g(t) = g_{\rm R} (t) \star h_{\rm G}(t) = 2 f_{\rm G} \cdot \int \limits^{t + T/2} _{t - T/2} {\rm e}^{-\pi\cdot (2 f_{\rm G}\cdot \tau)^2}\,{\rm d}\tau \hspace{0.05cm}.$$ | ||
− | *With the substitution $u^{2 } = 8π \cdot f_{\rm G}^{2} \cdot \tau^{2}$ and the function $\phi (x)$ can also be written | + | *With the substitution $u^{2 } = 8π \cdot f_{\rm G}^{2} \cdot \tau^{2}$ and the function $\phi (x)$ can also be written: |
:$$g(t) \ = \ \frac {1}{\sqrt{2 \pi}} \cdot \int \limits^{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2)} _{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)} {\rm e}^{-u^2/2}\,{\rm d}u = \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2))- \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)) \hspace{0.05cm}.$$ | :$$g(t) \ = \ \frac {1}{\sqrt{2 \pi}} \cdot \int \limits^{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2)} _{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)} {\rm e}^{-u^2/2}\,{\rm d}u = \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2))- \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)) \hspace{0.05cm}.$$ | ||
− | *For | + | *For time $t = 0$, taking into account $\phi (-x) = 1 - \phi (x)$ and $f_{\rm G} \cdot T = 0.45$: |
:$$g(t = 0) \ = \ \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(-\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)= 2 \cdot \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)-1 \approx 2 \cdot \phi(1. 12)-1 \hspace{0.15cm} \underline {= 0.737} \hspace{0.05cm}.$$ | :$$g(t = 0) \ = \ \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(-\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)= 2 \cdot \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)-1 \approx 2 \cdot \phi(1. 12)-1 \hspace{0.15cm} \underline {= 0.737} \hspace{0.05cm}.$$ | ||
Line 123: | Line 130: | ||
− | '''(4)''' With $a_{3} = +1$ | + | '''(4)''' With $a_{3} = +1$ ⇒ $q_{\rm G}(t = 3 T) = 1$ would result. Thus, due to linearity: |
:$$q_{\rm G}(t = 3 T ) = 1 - 2 \cdot g(t = 0)= 1 - 2 \cdot 0.737 \hspace{0.15cm} \underline {= -0.474} \hspace{0.05cm}.$$ | :$$q_{\rm G}(t = 3 T ) = 1 - 2 \cdot g(t = 0)= 1 - 2 \cdot 0.737 \hspace{0.15cm} \underline {= -0.474} \hspace{0.05cm}.$$ | ||
− | '''(5)''' Using the result of subtask '''(3)''' and $f_{\rm G} \cdot T = 0.45$ we obtain: | + | '''(5)''' Using the result of subtask '''(3)''' and $f_{\rm G} \cdot T = 0.45$ we obtain: |
:$$g(t = T) \ = \ \phi(3 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T) \approx \ \phi(3.36)-\phi(1.12) = 0.999 - 0.868 \hspace{0.15cm} \underline { = 0.131} \hspace{0.05cm}.$$ | :$$g(t = T) \ = \ \phi(3 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T) \approx \ \phi(3.36)-\phi(1.12) = 0.999 - 0.868 \hspace{0.15cm} \underline { = 0.131} \hspace{0.05cm}.$$ | ||
− | '''(6)''' In the alternating sequence, for symmetry reasons, the | + | '''(6)''' In the alternating sequence, for symmetry reasons, the magnitudes $|q_{\rm G}(\nu \cdot T)|$ are all the same for all multiples of the bit duration $T$. |
− | *All intermediate values at $t \neq \nu | + | *All intermediate values at $t \neq \nu \cdot T$ are smaller. |
− | *Considering $g(t ≥ 2T) \approx 0$, every single pulse value $g(0)$ is reduced by the preceding pulse with $g(t = T)$, additionally by the following one with $g(t = -T)$. | + | |
− | *Thus, | + | *Considering $g(t ≥ 2T) \approx 0$, every single pulse value $g(0)$ is reduced by the preceding pulse with $g(t = T)$, additionally by the following one with $g(t = -T)$. |
+ | |||
+ | *Thus, intersymbol interference results and one obtains: | ||
:$${\rm Max} \hspace{0.08cm}q_{\rm G}(t) = g(0) - 2 \cdot g(T) = 0.737 - 2 \cdot 0.131 \hspace{0.15cm} \underline {= 0.475 }\hspace{0.05cm}.$$ | :$${\rm Max} \hspace{0.08cm}q_{\rm G}(t) = g(0) - 2 \cdot g(T) = 0.737 - 2 \cdot 0.131 \hspace{0.15cm} \underline {= 0.475 }\hspace{0.05cm}.$$ | ||
Line 143: | Line 152: | ||
− | [[Category:Examples of Communication Systems: Exercises|^3.2 | + | [[Category:Examples of Communication Systems: Exercises|^3.2 Radio Interface^]] |
Latest revision as of 16:26, 11 January 2023
The modulation method used for GSM is known as "Gaussian Minimum Shift Keying" $\rm (GMSK)$. This is a type of "Frequency Shift Keying" $\rm (FSK)$ with continuous phase adjustment $(\text{CP-FSK)}$, in which
- the modulation index is smallest possible to still satisfy the orthogonality condition
$h = 0.5$ ⇒ "Minimum Shift Keying",
- a Gaussian low-pass filter with impulse response $h_{\rm G}(t)$ is introduced before the FSK modulator,
to further save bandwidth.
The graph illustrates the facts:
- The digital message is represented by the amplitude coefficients $a_{\nu} ∈ ±1$ to which a Dirac delta comb is applied. Note that the plotted (red) sequence is assumed for subtask (3).
- Let the rectangular pulse be dimensionless, symmetric and have the GSM bit duration $T_{\rm B} = T$:
- $$g_{\rm R}(t) = \left\{ \begin{array}{c} 1 \\ 0 \\ \end{array} \right.\quad \begin{array}{*{5}c} {\rm{{\rm{for}}}} \\ {\rm{{\rm{for}}}} \\ \end{array}\begin{array}{*{5}c} |\hspace{0.05cm} t \hspace{0.05cm}| < T/2 \hspace{0.05cm}, \\ |\hspace{0.05cm} t \hspace{0.05cm}| > T/2 \hspace{0.05cm}. \\ \end{array}$$
- This gives the following for the rectangular source 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 and its impulse response:
- $$H_{\rm G}(f) = {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}[f/(2 f_{\rm G})]^2} \hspace{0.2cm}\bullet\!\!-\!\!\!-\!\!\!-\!\!\circ\, \hspace{0.2cm} h_{\rm G}(t) = 2 f_{\rm G} \cdot {\rm e}^{-\pi\hspace{0.05cm}\cdot \hspace{0.05cm}(2 f_{\rm G}\cdot t)^2}\hspace{0.05cm},$$
- where the system theoretic cutoff frequency $f_{\rm G}$ is used.
- However, in the GSM specification, the $3 \hspace{0.05cm}\rm dB$ cutoff frequency is given as $f_{\rm 3\hspace{0.05cm} dB} = 0.3/T$. From this $f_{\rm G}$ can be calculated directly.
- The signal after the Gaussian low-pass is thus:
- $$q_{\rm G} (t) = q_{\rm R} (t) \star h_{\rm G}(t) = \sum_{\nu} a_{\nu}\cdot g(t - \nu \cdot T)\hspace{0.05cm}.$$
- $g(t)$ is called the "frequency pulse". For this holds:
- $$g(t) = q_{\rm R} (t) \star h_{\rm G}(t) \hspace{0.05cm}.$$
- For the instantaneous frequency at the FSK modulator output can thus be written
- $$f_{\rm A}(t) = f_{\rm T} + \Delta f_{\rm A} \cdot q_{\rm G} (t)\hspace{0.05cm},$$
- 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 your calculations, use the example values $f_{\rm T} = 900 \ \rm MHz$ and $\Delta f_{\rm A} = 68 \ \rm kHz$.
Hints:
- This exercise belongs to the chapter "Radio Interface".
- Reference is made in particular to the section "Gaussian Minimum Shift Keying"
- Use the Gaussian integral to solve this exercise $($see adjacent table$)$:
- $$\phi(x) =\frac {1}{\sqrt{2 \pi}} \cdot \int^{x} _{-\infty} {\rm e}^{-u^2/2}\,{\rm d}u \hspace{0.05cm}.$$
Questions
Solution
- The Gaussian low-pass therefore has no effect and $q_{\rm G}(t) \equiv 1$.
- The maximum frequency is therefore
- $${\rm Max}\hspace{0.05cm}[f_{\rm A}(t)] = f_{\rm T} + \Delta f_{\rm A} \hspace{0.15cm} \underline{= 900.068\,{\rm MHz}} \hspace{0.05cm}.$$
- The minimum of the instantaneous frequency results when all coefficients are negative:
- $${\rm Min}\hspace{0.05cm}[f_{\rm A}(t)] = f_{\rm T} - \Delta f_{\rm A} \hspace{0.15cm} \underline { = 899.932\,{\rm MHz}} \hspace{0.05cm}$$
- In this case, $q_{\rm R}(t) = q_{\rm G}(t) = -1$.
(2) The frequency at which the logarithmized power transfer function is $3 \ \rm dB$ smaller than at $f = 0$ is called the "$3\hspace{0.05cm}\rm dB$" cutoff frequency.
- This can also be expressed as follows:
- $$\frac {|H(f = f_{\rm 3\hspace{0.05cm}dB})|}{|H(f = 0)|}= \frac{1}{\sqrt{2}} \hspace{0.05cm}.$$
- In particular, for the Gaussian 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 $f_{\rm G} \approx 1.5 \cdot f_{\rm 3\hspace{0.05cm}dB}$.
- From $f_{\rm 3\hspace{0.05cm}dB} \cdot T = 0.3$ thus follows $f_{\rm G} \cdot T \hspace{0.15cm}\underline{\approx 0.45}$.
(3) The frequency pulse is obtained by convolution of the rectangular function $g_{\rm R}(t)$ and the impulse response $h_{\rm G}(t)$:
- $$g(t) = g_{\rm R} (t) \star h_{\rm G}(t) = 2 f_{\rm G} \cdot \int \limits^{t + T/2} _{t - T/2} {\rm e}^{-\pi\cdot (2 f_{\rm G}\cdot \tau)^2}\,{\rm d}\tau \hspace{0.05cm}.$$
- With the substitution $u^{2 } = 8π \cdot f_{\rm G}^{2} \cdot \tau^{2}$ and the function $\phi (x)$ can also be written:
- $$g(t) \ = \ \frac {1}{\sqrt{2 \pi}} \cdot \int \limits^{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2)} _{2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)} {\rm e}^{-u^2/2}\,{\rm d}u = \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t + T/2))- \phi(2 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot(t - T/2)) \hspace{0.05cm}.$$
- For time $t = 0$, taking into account $\phi (-x) = 1 - \phi (x)$ and $f_{\rm G} \cdot T = 0.45$:
- $$g(t = 0) \ = \ \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(-\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)= 2 \cdot \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T)-1 \approx 2 \cdot \phi(1. 12)-1 \hspace{0.15cm} \underline {= 0.737} \hspace{0.05cm}.$$
(4) With $a_{3} = +1$ ⇒ $q_{\rm G}(t = 3 T) = 1$ would result. Thus, due to linearity:
- $$q_{\rm G}(t = 3 T ) = 1 - 2 \cdot g(t = 0)= 1 - 2 \cdot 0.737 \hspace{0.15cm} \underline {= -0.474} \hspace{0.05cm}.$$
(5) Using the result of subtask (3) and $f_{\rm G} \cdot T = 0.45$ we obtain:
- $$g(t = T) \ = \ \phi(3 \cdot \sqrt{2 \pi} \cdot f_{\rm G} \cdot T)- \phi(\sqrt{2 \pi} \cdot f_{\rm G} \cdot T) \approx \ \phi(3.36)-\phi(1.12) = 0.999 - 0.868 \hspace{0.15cm} \underline { = 0.131} \hspace{0.05cm}.$$
(6) In the alternating sequence, for symmetry reasons, the magnitudes $|q_{\rm G}(\nu \cdot T)|$ are all the same for all multiples of the bit duration $T$.
- All intermediate values at $t \neq \nu \cdot T$ are smaller.
- Considering $g(t ≥ 2T) \approx 0$, every single pulse value $g(0)$ is reduced by the preceding pulse with $g(t = T)$, additionally by the following one with $g(t = -T)$.
- Thus, intersymbol interference results and one obtains:
- $${\rm Max} \hspace{0.08cm}q_{\rm G}(t) = g(0) - 2 \cdot g(T) = 0.737 - 2 \cdot 0.131 \hspace{0.15cm} \underline {= 0.475 }\hspace{0.05cm}.$$