Difference between revisions of "Aufgaben:Exercise 2.3: Binary Signal and Quaternary Signal"
m (Guenter verschob die Seite 2.3 Binär- und Quaternärsignal nach 2.3 Binärsignal und Quaternärsignal) |
|||
(13 intermediate revisions by 4 users not shown) | |||
Line 1: | Line 1: | ||
− | {{quiz-Header|Buchseite= | + | {{quiz-Header|Buchseite=Digital_Signal_Transmission/Redundancy-Free_Coding |
}} | }} | ||
− | [[File:P_ID1324__Dig_A_2_3.png|right|frame| | + | [[File:P_ID1324__Dig_A_2_3.png|right|frame|ACF and PSD of binary signal (B) and quaternary signal (Q)]] |
− | + | Two redundancy-free transmission systems $\rm B and \rm Q$ each with bipolar amplitude coefficients aν are to be compared. Both systems satisfy the first Nyquist condition. According to the root-root splitting, the spectrum Gd(f) of the basic detection pulse is equal in shape to the power-spectral density Φs(f) of the transmitted signal. | |
− | |||
− | |||
− | |||
− | |||
− | |||
+ | The following properties of the two systems are known: | ||
+ | *From the binary system B, the power-spectral density Φs(f) at the transmitter is known and shown in the graph together with the description parameters. | ||
+ | *The quaternary system Q uses a NRZ rectangular signal with the four possible amplitude values ±s0 and ±s0/3, all with equal probability. | ||
− | + | *s02 indicates the maximum instantaneous power that occurs only when one of the two "outer symbols" is transmitted. The descriptive parameters of system Q can be obtained from the triangular ACF in the adjacent graph. | |
− | * | ||
− | |||
− | |||
− | |||
− | === | + | |
+ | Notes: | ||
+ | *The exercise is part of the chapter [[Digital_Signal_Transmission/Grundlagen_der_codierten_Übertragung|"Basics of Coded Transmission"]]. | ||
+ | |||
+ | *Reference is also made to the chapter [[Digital_Signal_Transmission/Redundanzfreie_Codierung|"Redundancy-Free Coding"]]. | ||
+ | |||
+ | *Consider that auto-correlation function (ACF) and power-spectral density (PSD) of a stochastic signal are always related via the Fourier transform. | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ===Questions=== | ||
<quiz display=simple> | <quiz display=simple> | ||
− | { | + | {What is the symbol duration T of the binary system $\rm B$ with Nyquist property? |
|type="{}"} | |type="{}"} | ||
T = { 5 3% } ns | T = { 5 3% } ns | ||
− | { | + | {What is the (equivalent) bit rate $R_{\rm B} of the binary system \rm B$ ? |
|type="{}"} | |type="{}"} | ||
RB = { 200 3% } Mbit/s | RB = { 200 3% } Mbit/s | ||
− | { | + | {What is the transmitted power of the binary system $\rm B$? |
|type="{}"} | |type="{}"} | ||
PS = { 200 3% } mW | PS = { 200 3% } mW | ||
− | { | + | {Which statements are true regarding the binary system $\rm B$? |
|type="[]"} | |type="[]"} | ||
− | + | + | + The ACF φs(τ) of the transmitted signal is $\rm sinc^{2}$–shaped. |
− | + | + | + The energy ACF φ∙gs(τ) of the basic transmission pulse is $\rm sinc^{2}$–shaped. |
− | - | + | - The basic transmission pulse gs(t) itself is $\rm sinc^{2}$–shaped. |
− | { | + | {What is the symbol duration T of the quaternary system $\rm Q$? |
|type="{}"} | |type="{}"} | ||
T = { 10 3% } ns | T = { 10 3% } ns | ||
− | { | + | {What is the equivalent bit rate RB of the quaternary system $\rm Q$? |
|type="{}"} | |type="{}"} | ||
RB = { 200 3% } Mbit/s | RB = { 200 3% } Mbit/s | ||
− | { | + | {What is the transmitted power PS of the quaternary system $\rm Q$? |
|type="{}"} | |type="{}"} | ||
PS = { 100 3% } mW | PS = { 100 3% } mW | ||
− | { | + | {What is the maximum instantaneous transmitted power of the quaternary system $\rm Q$? |
|type="{}"} | |type="{}"} | ||
s02 = { 180 3% } mW | s02 = { 180 3% } mW | ||
Line 66: | Line 71: | ||
</quiz> | </quiz> | ||
− | === | + | ===Solution=== |
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' | + | '''(1)''' The Nyquist frequency fNyq=100 MHz can be read from the diagram. From this follows according to the properties of Nyquist systems: |
:fNyq=12⋅T⇒T=12⋅fNyq=5ns_. | :fNyq=12⋅T⇒T=12⋅fNyq=5ns_. | ||
− | '''(2)''' | + | |
+ | '''(2)''' In the binary system, the bit rate is also the information flow and it holds: | ||
:RB=1/T=200Mbit/s_=2⋅fNyq⋅bit/Hz. | :RB=1/T=200Mbit/s_=2⋅fNyq⋅bit/Hz. | ||
− | '''(3)''' | + | |
+ | '''(3)''' The transmitted power is equal to the integral over ${\it \Phi}_{s}(f)$ and can be calculated as a triangular area: | ||
:PS= ∫+∞−∞Φs(f)df=10−9WHz⋅200MHz=200mW_. | :PS= ∫+∞−∞Φs(f)df=10−9WHz⋅200MHz=200mW_. | ||
− | '''(4)''' | + | |
− | * | + | '''(4)''' The <u>first two statements</u> are correct: |
+ | *The Fourier inverse transform of the power-spectral density ${\it \Phi}_{s}(f)$ gives the $\rm sinc^{2}$–shaped ACF φs(τ). In general, the following relationship also holds: | ||
:φs(τ)=+∞∑λ=−∞1/T⋅φa(λ)⋅φ∙gs(τ−λ⋅T). | :φs(τ)=+∞∑λ=−∞1/T⋅φa(λ)⋅φ∙gs(τ−λ⋅T). | ||
− | * | + | *However, for a redundancy-free binary system, φa(λ=0)=1, while all other discrete ACF values φa(λ≠0) are equal to 0. Thus, the energy ACF also has a $\rm sinc^{2}$–shaped curve (note: energy ACF and energy PSD are each dotted in this tutorial): |
:φ∙gs(τ)=T⋅φs(τ). | :φ∙gs(τ)=T⋅φs(τ). | ||
− | * | + | *The last statement is not true. For the following reasoning, we assume for simplicity that gs(t) is symmetric and thus Gs(f) is real. Then holds: |
:Φs(f)=1/T⋅|Gs(f)|2⇒Gs(f)=√T⋅Φs(f)∙−−−∘gs(t). | :Φs(f)=1/T⋅|Gs(f)|2⇒Gs(f)=√T⋅Φs(f)∙−−−∘gs(t). | ||
− | * | + | *Due to the square root in the above equation, the basic transmission pulse g_{s}(t) is not $\rm sinc^{2}$–shaped in contrast to the basic detection pulse g_{d}(t), which is equal in shape to the energy ACF \varphi^{^{\bullet}}_{gs}(\tau) and thus $\rm sinc^{2}$–shaped. At the same time, \varphi^{^{\bullet}}_{gs}(\tau) = g_{s}(\tau) ∗ g_{s}(–\tau) holds. |
+ | |||
+ | |||
+ | '''(5)''' The ACF \varphi_{s}(\tau) is limited to the range |\tau| ≤ T when the basic transmission pulse is an NRZ rectangle. From the graph, the symbol duration T \underline{= 10 \ \rm ns}. | ||
− | |||
− | '''(6)''' | + | '''(6)''' For the quaternary signal, the information flow is the same as for the binary signal above because of the double symbol duration: |
:R_{\rm B} = {{\rm log_2(4)} }/ { T} \hspace{0.15cm}\underline {= 200\,\,{\rm Mbit/s}}\hspace{0.05cm}. | :R_{\rm B} = {{\rm log_2(4)} }/ { T} \hspace{0.15cm}\underline {= 200\,\,{\rm Mbit/s}}\hspace{0.05cm}. | ||
− | '''(7)''' | + | |
+ | '''(7)''' The transmitted power is equal to the ACF value at \tau = 0 and can be read from the graph: | ||
:P_{\rm S} = \hspace{0.15cm}\underline {100\,\,{\rm mW}}. | :P_{\rm S} = \hspace{0.15cm}\underline {100\,\,{\rm mW}}. | ||
− | '''(8)''' | + | |
+ | '''(8)''' For the redundancy-free quaternary signal with NRZ rectangular pulses, the average transmitted power is: | ||
:P_{\rm S} = {1}/ { 4} \cdot \left [ (-s_0)^2 + (-s_0/3)^2 + (+s_0/3)^2 +(+s_0)^2 \right ] = {5}/ { 9} \cdot s_0^2 | :P_{\rm S} = {1}/ { 4} \cdot \left [ (-s_0)^2 + (-s_0/3)^2 + (+s_0/3)^2 +(+s_0)^2 \right ] = {5}/ { 9} \cdot s_0^2 | ||
:\Rightarrow \hspace{0.3cm}s_0^2 = {9}/ {5} \cdot P_{\rm S} = {9}/ {5} \cdot 100\,\,{\rm mW}\hspace{0.15cm}\underline { = 180\,\,{\rm mW}}\hspace{0.05cm}. | :\Rightarrow \hspace{0.3cm}s_0^2 = {9}/ {5} \cdot P_{\rm S} = {9}/ {5} \cdot 100\,\,{\rm mW}\hspace{0.15cm}\underline { = 180\,\,{\rm mW}}\hspace{0.05cm}. | ||
Line 103: | Line 115: | ||
− | [[Category: | + | [[Category:Digital Signal Transmission: Exercises|^2.2 Redundancy-Free Coding^]] |
Latest revision as of 17:16, 3 June 2022
Two redundancy-free transmission systems \rm B and \rm Q each with bipolar amplitude coefficients a_{\nu} are to be compared. Both systems satisfy the first Nyquist condition. According to the root-root splitting, the spectrum G_{d}(f) of the basic detection pulse is equal in shape to the power-spectral density {\it \Phi}_{s}(f) of the transmitted signal.
The following properties of the two systems are known:
- From the binary system \rm B, the power-spectral density {\it \Phi}_{s}(f) at the transmitter is known and shown in the graph together with the description parameters.
- The quaternary system \rm Q uses a NRZ rectangular signal with the four possible amplitude values ±s_{0} and ±s_{0}/3, all with equal probability.
- {s_{0}}^{2} indicates the maximum instantaneous power that occurs only when one of the two "outer symbols" is transmitted. The descriptive parameters of system \rm Q can be obtained from the triangular ACF in the adjacent graph.
Notes:
- The exercise is part of the chapter "Basics of Coded Transmission".
- Reference is also made to the chapter "Redundancy-Free Coding".
- Consider that auto-correlation function \rm (ACF) and power-spectral density \rm (PSD) of a stochastic signal are always related via the Fourier transform.
Questions
Solution
- f_{\rm Nyq} = \frac{1 } {2 \cdot T} \hspace{0.3cm}\Rightarrow \hspace{0.3cm} T = \frac{1 } {2 \cdot f_{\rm Nyq}} \hspace{0.15cm}\underline{ =5\,{\rm ns}}\hspace{0.05cm}.
(2) In the binary system, the bit rate is also the information flow and it holds:
- R_{\rm B} = {1 }/ { T} \hspace{0.15cm}\underline {= 200\,{\rm Mbit/s}}= 2 \cdot f_{\rm Nyq} \cdot{\rm bit}/{\rm Hz}\hspace{0.05cm}.
(3) The transmitted power is equal to the integral over {\it \Phi}_{s}(f) and can be calculated as a triangular area:
- P_{\rm S} = \ \int_{-\infty}^{+\infty} {\it \Phi}_s(f) \,{\rm d} f = 10^{-9} \frac{\rm W}{\rm Hz} \cdot 200\,\,{\rm MHz} \hspace{0.15cm}\underline { = 200\,\,{\rm mW}}.
(4) The first two statements are correct:
- The Fourier inverse transform of the power-spectral density {\it \Phi}_{s}(f) gives the \rm sinc^{2}–shaped ACF \varphi_{s}(\tau). In general, the following relationship also holds:
- \varphi_s(\tau) = \sum_{\lambda = -\infty}^{+\infty}{1}/{T} \cdot \varphi_a(\lambda)\cdot \varphi^{^{\bullet}}_{gs}(\tau - \lambda \cdot T)\hspace{0.05cm}.
- However, for a redundancy-free binary system, \varphi_{a}(\lambda = 0) = 1, while all other discrete ACF values \varphi_{a}(\lambda \neq 0) are equal to 0. Thus, the energy ACF also has a \rm sinc^{2}–shaped curve (note: energy ACF and energy PSD are each dotted in this tutorial):
- \varphi^{^{\bullet}}_{gs}(\tau ) = T \cdot \varphi_s(\tau) \hspace{0.05cm}.
- The last statement is not true. For the following reasoning, we assume for simplicity that g_{s}(t) is symmetric and thus G_{s}(f) is real. Then holds:
- {\it \Phi}_{s}(f) = {1 }/ { T} \cdot |G_s(f)|^2\hspace{0.3cm}\Rightarrow \hspace{0.3cm}G_s(f) = \sqrt{{ T} \cdot {\it \Phi}_{s}(f)}\hspace{0.4cm} \bullet\!\!-\!\!\!-\!\!\!-\!\!\circ \hspace{0.4cm}g_s(t) \hspace{0.05cm}.
- Due to the square root in the above equation, the basic transmission pulse g_{s}(t) is not \rm sinc^{2}–shaped in contrast to the basic detection pulse g_{d}(t), which is equal in shape to the energy ACF \varphi^{^{\bullet}}_{gs}(\tau) and thus \rm sinc^{2}–shaped. At the same time, \varphi^{^{\bullet}}_{gs}(\tau) = g_{s}(\tau) ∗ g_{s}(–\tau) holds.
(5) The ACF \varphi_{s}(\tau) is limited to the range |\tau| ≤ T when the basic transmission pulse is an NRZ rectangle. From the graph, the symbol duration T \underline{= 10 \ \rm ns}.
(6) For the quaternary signal, the information flow is the same as for the binary signal above because of the double symbol duration:
- R_{\rm B} = {{\rm log_2(4)} }/ { T} \hspace{0.15cm}\underline {= 200\,\,{\rm Mbit/s}}\hspace{0.05cm}.
(7) The transmitted power is equal to the ACF value at \tau = 0 and can be read from the graph:
- P_{\rm S} = \hspace{0.15cm}\underline {100\,\,{\rm mW}}.
(8) For the redundancy-free quaternary signal with NRZ rectangular pulses, the average transmitted power is:
- P_{\rm S} = {1}/ { 4} \cdot \left [ (-s_0)^2 + (-s_0/3)^2 + (+s_0/3)^2 +(+s_0)^2 \right ] = {5}/ { 9} \cdot s_0^2
- \Rightarrow \hspace{0.3cm}s_0^2 = {9}/ {5} \cdot P_{\rm S} = {9}/ {5} \cdot 100\,\,{\rm mW}\hspace{0.15cm}\underline { = 180\,\,{\rm mW}}\hspace{0.05cm}.