Difference between revisions of "Aufgaben:Exercise 1.6: Root Nyquist System"
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− | {{quiz-Header|Buchseite= | + | {{quiz-Header|Buchseite=Digital_Signal_Transmission/Optimization_of_Baseband_Transmission_Systems |
}} | }} | ||
− | [[File:P_ID1292__Dig_A_1_6.png|right|frame| | + | [[File:P_ID1292__Dig_A_1_6.png|right|frame|Cosine spectrum (transmitter & receiver)]] |
− | + | The diagram on the right shows | |
− | * | + | *the spectrum Gs(f) of the basic transmission pulse, |
− | * | + | *the frequency response HE(f) of the receiver filter |
− | + | of a binary and bipolar transmission system, which are identical in shape to each other: | |
:$$G_s(f) = \left\{ \begin{array}{c} A \cdot \cos \left( \frac {\pi \cdot f}{2 \cdot f_2} \right) \\ | :$$G_s(f) = \left\{ \begin{array}{c} A \cdot \cos \left( \frac {\pi \cdot f}{2 \cdot f_2} \right) \\ | ||
\\ 0 \\ \end{array} \right.\quad | \\ 0 \\ \end{array} \right.\quad | ||
− | \begin{array}{*{1}c} {\rm{ | + | \begin{array}{*{1}c} {\rm{for}}\\ \\ \\ \end{array} |
− | \begin{array}{*{20}c}|f| \le f_2 \hspace{0.05cm}, \\ \\ {\rm | + | \begin{array}{*{20}c}|f| \le f_2 \hspace{0.05cm}, \\ \\ {\rm else }\hspace{0.05cm}, \\ |
\end{array}$$ | \end{array}$$ | ||
:$$H_{\rm E }(f) = \left\{ \begin{array}{c} 1 \cdot \cos \left( \frac {\pi \cdot f}{2 \cdot f_2} \right) \\ | :$$H_{\rm E }(f) = \left\{ \begin{array}{c} 1 \cdot \cos \left( \frac {\pi \cdot f}{2 \cdot f_2} \right) \\ | ||
\\ 0 \\ \end{array} \right.\quad | \\ 0 \\ \end{array} \right.\quad | ||
− | \begin{array}{*{1}c} {\rm{ | + | \begin{array}{*{1}c} {\rm{for}}\\ \\ \\ \end{array} |
− | \begin{array}{*{20}c}|f| \le f_2 \hspace{0.05cm}, \\ \\ {\rm | + | \begin{array}{*{20}c}|f| \le f_2 \hspace{0.05cm}, \\ \\ {\rm else }\hspace{0.05cm}. \\ |
\end{array}$$ | \end{array}$$ | ||
− | In | + | In the whole exercise A = 10^{–6} \ \rm V/Hz and f_{2} = 1 \ \rm MHz are valid. |
− | * | + | *Assuming that the bit rate R = 1/T is chosen correctly, the basic transmitter pulse g_{d}(t) = g_{s}(t) ∗ h_{\rm E}(t) satisfies the first Nyquist criterion. |
− | * | + | *For the associated spectral function G_{d}(f), the rolloff thereby occurs cosinusoidally similar to a cosine rolloff spectrum. |
− | * | + | *The rolloff factor r is to be determined in this exercise. |
+ | Notes: | ||
+ | *The exercise belongs to the chapter [[Digital_Signal_Transmission/Optimization_of_Baseband_Transmission_Systems|"Optimization of Baseband Transmission Systems"]]. | ||
+ | |||
+ | *Numerical values of the Q-function are provided, for example, by the interactive HTML5/JS applet [[Applets:Komplementäre_Gaußsche_Fehlerfunktionen|"Complementary Gaussian Error Functions"]]. | ||
− | + | *The crest factor is the quotient of the maximum and the rms value of the transmitted signal and thus a measure of the intersymbol interfering at the transmitting end: | |
− | |||
− | * | ||
− | |||
− | |||
− | |||
:C_{\rm S} = \frac{s_0}{\sqrt{E_{\rm B}/T}} = \frac{{\rm Max}[s(t)]}{\sqrt{{\rm E}[s^2(t)]}}= {s_0}/{s_{\rm eff}}. | :C_{\rm S} = \frac{s_0}{\sqrt{E_{\rm B}/T}} = \frac{{\rm Max}[s(t)]}{\sqrt{{\rm E}[s^2(t)]}}= {s_0}/{s_{\rm eff}}. | ||
− | === | + | ===Questions=== |
<quiz display=simple> | <quiz display=simple> | ||
− | { | + | {Calculate the Nyquist spectrum G_{d}(f). What is the Nyquist frequency and the rolloff factor? |
|type="{}"} | |type="{}"} | ||
f_{\rm Nyq} \ = \ { 0.5 3% } \ \rm MHz | f_{\rm Nyq} \ = \ { 0.5 3% } \ \rm MHz | ||
r \ = \ { 1 3% } | r \ = \ { 1 3% } | ||
− | { | + | {What is the bit rate of the Nyquist system at hand? |
|type="{}"} | |type="{}"} | ||
R \ = \ { 1 3% } \ \rm Mbit/s | R \ = \ { 1 3% } \ \rm Mbit/s | ||
− | { | + | {Why is it an optimal system under the constraint "power limitation"? |
|type="[]"} | |type="[]"} | ||
− | + | + | +The overall system satisfies the Nyquist condition. |
− | - | + | -The crest factor is C_{\rm S} = 1. |
− | + | + | +The receiver filter H_{\rm E}(f) is matched to the basic transmission pulse G_{s}(f). |
− | { | + | {What is the bit error probability if the power density of the AWGN noise is N_{0} = 8 \cdot 10^{–8}\ \rm V^{2}/Hz (referenced to 1 Ω)? |
|type="{}"} | |type="{}"} | ||
p_{\rm B} \ = \ { 0.287 3% } \ \cdot 10^{-6} | p_{\rm B} \ = \ { 0.287 3% } \ \cdot 10^{-6} | ||
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</quiz> | </quiz> | ||
− | === | + | ===Solution=== |
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' | + | '''(1)''' With the functions G_{s}(f) and H_{\rm E}(f), the spectrum of the basic detection pulse for |f| \leq f_{2}: |
:G_d(f) = G_s(f) \cdot H_{\rm E}(f) = A \cdot \cos^2 \left( \frac {\pi \cdot f}{2 \cdot f_2} \right). | :G_d(f) = G_s(f) \cdot H_{\rm E}(f) = A \cdot \cos^2 \left( \frac {\pi \cdot f}{2 \cdot f_2} \right). | ||
− | + | *According to the general definition of the cosine rolloff spectrum, the corner frequencies are f_{1} = 0 and f_{2} = 1\ \rm MHz. | |
+ | * From this follows for the Nyquist frequency (symmetry point with respect to the rolloff): | ||
:$$f_{\rm Nyq} = \frac{f_1 +f_2 } | :$$f_{\rm Nyq} = \frac{f_1 +f_2 } | ||
{2 } \hspace{0.1cm}\underline { = 0.5\,{\rm MHz}}\hspace{0.05cm}.$$ | {2 } \hspace{0.1cm}\underline { = 0.5\,{\rm MHz}}\hspace{0.05cm}.$$ | ||
− | + | *The rolloff factor is | |
:r = \frac{f_2 -f_1 } {f_2 +f_1 } \hspace{0.1cm}\underline {= 1} \hspace{0.05cm}. | :r = \frac{f_2 -f_1 } {f_2 +f_1 } \hspace{0.1cm}\underline {= 1} \hspace{0.05cm}. | ||
− | + | *This means: G_{d}(f) describes a \cos^{2} spectrum. | |
+ | |||
+ | |||
+ | |||
+ | '''(2)''' The relationship between Nyquist frequency and symbol duration T is f_{\rm Nyq} = 1/(2T). | ||
+ | *From this it follows for the bit rate R = 1/T = 2 \cdot f_{\rm Nyq}\ \underline{= 1 \ \rm Mbit/s}. | ||
+ | *Note the different units for frequency and bit rate. | ||
− | |||
+ | '''(3)''' The <u>first and third solutions</u> are correct: | ||
+ | *This is an optimal binary system under the constraint of power limitation. | ||
+ | *The crest factor is not important under power limitation. With the conditions given here, C_{\rm S} > 1 would apply. | ||
− | |||
− | |||
− | |||
− | '''(4)''' | + | '''(4)''' The bit error probability of an optimal system can be calculated as follows: |
:p_{\rm B} = {\rm Q} \left( \sqrt{{2 \cdot E_{\rm B}}/{N_0}}\right)\hspace{0.05cm}. | :p_{\rm B} = {\rm Q} \left( \sqrt{{2 \cdot E_{\rm B}}/{N_0}}\right)\hspace{0.05cm}. | ||
− | + | *In the given example, we obtain for the average energy per bit: | |
:$$E_{\rm B} = \ | :$$E_{\rm B} = \ | ||
\int_{-\infty}^{+\infty}|G_s(f)|^2 \,{\rm d} f = | \int_{-\infty}^{+\infty}|G_s(f)|^2 \,{\rm d} f = | ||
A^2 \cdot \int_{-1/T}^{+1/T} H_{\rm Nyq}(f) \,{\rm d} f | A^2 \cdot \int_{-1/T}^{+1/T} H_{\rm Nyq}(f) \,{\rm d} f | ||
= \ \frac {A^2}{T} = \frac {(10^{-6}\,{\rm V/Hz})^2}{10^{-6}\,{\rm s}} = 10^{-6}\,{\rm V^2s}\hspace{0.05cm}.$$ | = \ \frac {A^2}{T} = \frac {(10^{-6}\,{\rm V/Hz})^2}{10^{-6}\,{\rm s}} = 10^{-6}\,{\rm V^2s}\hspace{0.05cm}.$$ | ||
− | + | *With N_{0} = 8 \cdot 10^{–8} \ \rm V^{2}/Hz, this further gives: | |
:$$p_{\rm B} = {\rm Q} \left( \sqrt{\frac{2 \cdot 10^{-6}\,{\rm V^2s}}{8 \cdot 10^{-8}\,{\rm | :$$p_{\rm B} = {\rm Q} \left( \sqrt{\frac{2 \cdot 10^{-6}\,{\rm V^2s}}{8 \cdot 10^{-8}\,{\rm | ||
V^2/Hz}}}\right)= | V^2/Hz}}}\right)= | ||
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− | [[Category: | + | [[Category:Digital Signal Transmission: Exercises|^1.4 Optimization of Baseband Systems^]] |
Latest revision as of 17:51, 13 March 2023
The diagram on the right shows
- the spectrum G_{s}(f) of the basic transmission pulse,
- the frequency response H_{\rm E}(f) of the receiver filter
of a binary and bipolar transmission system, which are identical in shape to each other:
- G_s(f) = \left\{ \begin{array}{c} A \cdot \cos \left( \frac {\pi \cdot f}{2 \cdot f_2} \right) \\ \\ 0 \\ \end{array} \right.\quad \begin{array}{*{1}c} {\rm{for}}\\ \\ \\ \end{array} \begin{array}{*{20}c}|f| \le f_2 \hspace{0.05cm}, \\ \\ {\rm else }\hspace{0.05cm}, \\ \end{array}
- H_{\rm E }(f) = \left\{ \begin{array}{c} 1 \cdot \cos \left( \frac {\pi \cdot f}{2 \cdot f_2} \right) \\ \\ 0 \\ \end{array} \right.\quad \begin{array}{*{1}c} {\rm{for}}\\ \\ \\ \end{array} \begin{array}{*{20}c}|f| \le f_2 \hspace{0.05cm}, \\ \\ {\rm else }\hspace{0.05cm}. \\ \end{array}
In the whole exercise A = 10^{–6} \ \rm V/Hz and f_{2} = 1 \ \rm MHz are valid.
- Assuming that the bit rate R = 1/T is chosen correctly, the basic transmitter pulse g_{d}(t) = g_{s}(t) ∗ h_{\rm E}(t) satisfies the first Nyquist criterion.
- For the associated spectral function G_{d}(f), the rolloff thereby occurs cosinusoidally similar to a cosine rolloff spectrum.
- The rolloff factor r is to be determined in this exercise.
Notes:
- The exercise belongs to the chapter "Optimization of Baseband Transmission Systems".
- Numerical values of the Q-function are provided, for example, by the interactive HTML5/JS applet "Complementary Gaussian Error Functions".
- The crest factor is the quotient of the maximum and the rms value of the transmitted signal and thus a measure of the intersymbol interfering at the transmitting end:
- C_{\rm S} = \frac{s_0}{\sqrt{E_{\rm B}/T}} = \frac{{\rm Max}[s(t)]}{\sqrt{{\rm E}[s^2(t)]}}= {s_0}/{s_{\rm eff}}.
Questions
Solution
(1) With the functions G_{s}(f) and H_{\rm E}(f), the spectrum of the basic detection pulse for |f| \leq f_{2}:
- G_d(f) = G_s(f) \cdot H_{\rm E}(f) = A \cdot \cos^2 \left( \frac {\pi \cdot f}{2 \cdot f_2} \right).
- According to the general definition of the cosine rolloff spectrum, the corner frequencies are f_{1} = 0 and f_{2} = 1\ \rm MHz.
- From this follows for the Nyquist frequency (symmetry point with respect to the rolloff):
- f_{\rm Nyq} = \frac{f_1 +f_2 } {2 } \hspace{0.1cm}\underline { = 0.5\,{\rm MHz}}\hspace{0.05cm}.
- The rolloff factor is
- r = \frac{f_2 -f_1 } {f_2 +f_1 } \hspace{0.1cm}\underline {= 1} \hspace{0.05cm}.
- This means: G_{d}(f) describes a \cos^{2} spectrum.
(2) The relationship between Nyquist frequency and symbol duration T is f_{\rm Nyq} = 1/(2T).
- From this it follows for the bit rate R = 1/T = 2 \cdot f_{\rm Nyq}\ \underline{= 1 \ \rm Mbit/s}.
- Note the different units for frequency and bit rate.
(3) The first and third solutions are correct:
- This is an optimal binary system under the constraint of power limitation.
- The crest factor is not important under power limitation. With the conditions given here, C_{\rm S} > 1 would apply.
(4) The bit error probability of an optimal system can be calculated as follows:
- p_{\rm B} = {\rm Q} \left( \sqrt{{2 \cdot E_{\rm B}}/{N_0}}\right)\hspace{0.05cm}.
- In the given example, we obtain for the average energy per bit:
- E_{\rm B} = \ \int_{-\infty}^{+\infty}|G_s(f)|^2 \,{\rm d} f = A^2 \cdot \int_{-1/T}^{+1/T} H_{\rm Nyq}(f) \,{\rm d} f = \ \frac {A^2}{T} = \frac {(10^{-6}\,{\rm V/Hz})^2}{10^{-6}\,{\rm s}} = 10^{-6}\,{\rm V^2s}\hspace{0.05cm}.
- With N_{0} = 8 \cdot 10^{–8} \ \rm V^{2}/Hz, this further gives:
- p_{\rm B} = {\rm Q} \left( \sqrt{\frac{2 \cdot 10^{-6}\,{\rm V^2s}}{8 \cdot 10^{-8}\,{\rm V^2/Hz}}}\right)= {\rm Q} \left( \sqrt{25}\right)= {\rm Q} (5) \hspace{0.1cm}\underline {= 0.287 \cdot 10^{-6}}\hspace{0.05cm}.