Difference between revisions of "Aufgaben:Exercise 5.2: Band Spreading and Narrowband Interferer"
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of band spreading]] | of band spreading]] | ||
A spread spectrum system is considered according to the given diagram in the equivalent low-pass range: | A spread spectrum system is considered according to the given diagram in the equivalent low-pass range: | ||
− | *Let the digital signal $q(t)$ possess the power density | + | *Let the digital signal $q(t)$ possess the power-spectral density ${\it \Phi}_q(f)$, which is to be approximated as rectangular with bandwidth $B = 1/T = 100\ \rm kHz$ (a rather unrealistic assumption): |
:$${\it \Phi}_{q}(f) = | :$${\it \Phi}_{q}(f) = | ||
\left\{ \begin{array}{c} {\it \Phi}_{0} \\ | \left\{ \begin{array}{c} {\it \Phi}_{0} \\ | ||
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*Thus, in the low-pass range, the bandwidth (only the components at positive frequencies) is equal to $B/2$ and the bandwidth in the band-pass range is $B$. | *Thus, in the low-pass range, the bandwidth (only the components at positive frequencies) is equal to $B/2$ and the bandwidth in the band-pass range is $B$. | ||
*The band spreading is done by multiplication with the PN sequence $c(t)$ of the chip duration $T_c = T/100$ <br>("PN" stands for "pseudo-noise"). | *The band spreading is done by multiplication with the PN sequence $c(t)$ of the chip duration $T_c = T/100$ <br>("PN" stands for "pseudo-noise"). | ||
− | *To simplify matters, the following applies to the | + | *To simplify matters, the following applies to the auto-correlation function: |
:$$ {\it \varphi}_{c}(\tau) = \left\{ \begin{array}{c}1 - |\tau|/T_c \\ 0 \\ \end{array} \right. \begin{array}{*{10}c} {\rm{for}} \\ {\rm{otherwise}} \hspace{0.05cm}. \\ \end{array}\begin{array}{*{20}c} -T_c \le \tau \le T_c \hspace{0.05cm}, \\ \\ \end{array}$$ | :$$ {\it \varphi}_{c}(\tau) = \left\{ \begin{array}{c}1 - |\tau|/T_c \\ 0 \\ \end{array} \right. \begin{array}{*{10}c} {\rm{for}} \\ {\rm{otherwise}} \hspace{0.05cm}. \\ \end{array}\begin{array}{*{20}c} -T_c \le \tau \le T_c \hspace{0.05cm}, \\ \\ \end{array}$$ | ||
*At the receiver, the same spreading sequence $c(t)$ is again added phase-synchronously. | *At the receiver, the same spreading sequence $c(t)$ is again added phase-synchronously. | ||
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<quiz display=simple> | <quiz display=simple> | ||
− | {What is the power density | + | {What is the power-spectral density ${\it \Phi}_c(f )$ of the spreading signal $c(t)$? What value results at the frequency $f = 0$? |
|type="{}"} | |type="{}"} | ||
${\it \Phi}_c(f = 0) \ = \ $ { 0.1 3% } $\ \cdot 10^{-6} \ \rm 1/Hz$ | ${\it \Phi}_c(f = 0) \ = \ $ { 0.1 3% } $\ \cdot 10^{-6} \ \rm 1/Hz$ | ||
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===Solution=== | ===Solution=== | ||
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' The power density | + | '''(1)''' The power-spectral density $\rm (PDS)$ ${\it \Phi}_c(f)$ is the Fourier transform of the triangular ACF, which can be represented with rectangles of width $T_c$ as follows: |
:$${\it \varphi}_{c}(\tau) = \frac{1}{T_c} \cdot {\rm rect} \big(\frac{\tau}{T_c} \big ) \star {\rm rect} \big(\frac{\tau}{T_c} \big ) \hspace{0.05cm}.$$ | :$${\it \varphi}_{c}(\tau) = \frac{1}{T_c} \cdot {\rm rect} \big(\frac{\tau}{T_c} \big ) \star {\rm rect} \big(\frac{\tau}{T_c} \big ) \hspace{0.05cm}.$$ | ||
− | *From this follows ${\it \Phi}_{c}(f) = {1}/{T_c} \cdot \big[ T_c \cdot {\rm | + | *From this follows ${\it \Phi}_{c}(f) = {1}/{T_c} \cdot \big[ T_c \cdot {\rm sinc} \left(f T_c \right ) \big ] \cdot \big[ T_c \cdot {\rm sinc} \left(f T_c \right ) \big ] = T_c \cdot {\rm sinc}^2 \left(f T_c \right ) \hspace{0.05cm}$ with maximum value |
:$${\it \Phi}_{c}(f = 0) = T_c = \frac{T}{100}= \frac{1}{100 \cdot B} = \frac{1}{100 \cdot 10^5\,{\rm 1/s}} = 10^{-7}\,{\rm 1/Hz} \hspace{0.15cm}\underline {= 0.1 \cdot 10^{-6}\,{\rm 1/Hz}}\hspace{0.05cm}.$$ | :$${\it \Phi}_{c}(f = 0) = T_c = \frac{T}{100}= \frac{1}{100 \cdot B} = \frac{1}{100 \cdot 10^5\,{\rm 1/s}} = 10^{-7}\,{\rm 1/Hz} \hspace{0.15cm}\underline {= 0.1 \cdot 10^{-6}\,{\rm 1/Hz}}\hspace{0.05cm}.$$ | ||
− | + | '''(2)''' By definition, with $T_c = T/100 = 0.1\ \rm µ s$: | |
− | + | [[File:P_ID1869__Mod_A_5_2b.png|right|frame|Power density spectrum of the pseudo-noise spread signal]] | |
− | + | :$$B_c= \frac{1}{T_c} \cdot \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\it \Phi}_{c}(f)\hspace{0.1cm} {\rm d}f = \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\rm sinc}^2 \left(f T_c \right )\hspace{0.1cm} {\rm d}f $$ | |
− | '''(2)''' By definition, with $T_c = T/100 = 0.1\ \rm µ s$: | + | :$$\Rightarrow \hspace{0.3cm} B_c= \frac{1}{T_c}\hspace{0.15cm}\underline {= 10\,{\rm MHz}} \hspace{0.05cm}$$ |
− | :$$B_c= \frac{1}{T_c} \cdot \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\it \Phi}_{c}(f)\hspace{0.1cm} {\rm d}f = \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\rm | ||
− | :$$\Rightarrow \hspace{0.3cm} B_c= | ||
The graph illustrates, | The graph illustrates, | ||
− | *that $B_c$ is given by the first zero of the $\rm | + | *that $B_c$ is given by the first zero of the $\rm sinc^2$ function in the equivalent low-pass range, |
− | *but at the same time also gives the equivalent (equal area) bandwidth in the | + | *but at the same time also gives the equivalent (equal area) bandwidth in the band-pass region. |
− | |||
− | '''(3)''' <u>Solutions 2 and 5</u> are correct: | + | '''(3)''' <u>Solutions 2 and 5</u> are correct: |
− | *The | + | *The PDS ${\it \Phi}_s(f)$ results from the convolution of ${\it \Phi}_q(f)$ and ${\it \Phi}_c(f)$. This actually gives $B_s = B_c + B$ for the bandwidth of the transmitted signal. |
*Since the spreading signal $c(t) ∈ \{+1, –1\}$ multiplied by itself always gives the value $1$, naturally $b(t) ≡ q(t)$ and consequently $B_b = B$. | *Since the spreading signal $c(t) ∈ \{+1, –1\}$ multiplied by itself always gives the value $1$, naturally $b(t) ≡ q(t)$ and consequently $B_b = B$. | ||
*Obviously, the bandwidth $B_b$ of the band compressed signal is not equal to $2B_c + B$, although the convolution ${\it \Phi}_s(f) ∗ {\it \Phi}_c(f)$ suggests this. | *Obviously, the bandwidth $B_b$ of the band compressed signal is not equal to $2B_c + B$, although the convolution ${\it \Phi}_s(f) ∗ {\it \Phi}_c(f)$ suggests this. | ||
*This is due to the fact that the power density spectra must not be convolved, but the spectral functions (amplitude spectra) $S(f)$ and $C(f)$ must be assumed, taking into account the phase relations. | *This is due to the fact that the power density spectra must not be convolved, but the spectral functions (amplitude spectra) $S(f)$ and $C(f)$ must be assumed, taking into account the phase relations. | ||
− | *Only then can the | + | *Only then can the PDS $B(f)$ be determined from ${\it \Phi}_b(f)$. Clearly, the following is also true: $C(f) ∗ C(f) = δ(f)$. |
− | '''(4)''' Only the <u>first solution</u> is correct. The solution shall be clarified by the diagram at the end of the page: | + | '''(4)''' Only the <u>first solution</u> is correct. The solution shall be clarified by the diagram at the end of the page: |
− | *In the upper diagram the | + | *In the upper diagram the PDS ${\it \Phi}_i(f)$ of the narrowband interferer is approximated by two Dirac delta functions at $±f_{\rm T}$ with weights $P_{\rm I}/2$. Also plotted is the bandwidth $B = 0.1 \ \rm MHz$ (not quite true to scale). |
− | *The receiver-side multiplication with $c(t)$ – actually with the function of the band compression, at least with respect to the useful part of $r(t)$ – causes a band spreading with respect to the interference signal $i(t)$. Without considering the useful signal, $b(t) = n(t) = i(t) · c(t)$. It follows: | + | *The receiver-side multiplication with $c(t)$ – actually with the function of the band compression, at least with respect to the useful part of $r(t)$ – causes a band spreading with respect to the interference signal $i(t)$. Without considering the useful signal, $b(t) = n(t) = i(t) · c(t)$. It follows: |
− | :$${\it \Phi}_{n}(f) = {\it \Phi}_{i}(f) \star {\it \Phi}_{c}(f) = \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm | + | :$${\it \Phi}_{n}(f) = {\it \Phi}_{i}(f) \star {\it \Phi}_{c}(f) = \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f - f_{\rm T}) \cdot T_c \right )+ \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f + f_{\rm T}) \cdot T_c \right ) \hspace{0.05cm}.$$ |
[[File:P_ID1870__Mod_A_5_2c.png|right|frame|Power density spectra before and after band spreading]] | [[File:P_ID1870__Mod_A_5_2c.png|right|frame|Power density spectra before and after band spreading]] | ||
*Note that $n(t)$ is used here only as an abbreviation and does not denote AWGN noise. | *Note that $n(t)$ is used here only as an abbreviation and does not denote AWGN noise. | ||
− | *In a narrow range around the carrier frequency $f_{\rm T} = 30 \ \rm MHz$, the | + | *In a narrow range around the carrier frequency $f_{\rm T} = 30 \ \rm MHz$, the PDS ${\it \Phi}_n(f)$ is almost constant. Thus, the interference power after band spreading is: |
:$$ P_{n} = P_{\rm I} \cdot T_c \cdot B = P_{\rm I}\cdot \frac{B}{B_c} = \frac{P_{\rm I}}{J}\hspace{0.05cm}. $$ | :$$ P_{n} = P_{\rm I} \cdot T_c \cdot B = P_{\rm I}\cdot \frac{B}{B_c} = \frac{P_{\rm I}}{J}\hspace{0.05cm}. $$ | ||
− | *This means: | + | *This means: The interference power is reduced by the factor $J = T/T_c$ by band spreading, which is why $J$ is often called "spreading gain". |
− | *However, such a spreading gain is only given for a narrowband interferer. | + | *However, such a "spreading gain" is only given for a narrowband interferer. |
Latest revision as of 12:41, 17 February 2022
A spread spectrum system is considered according to the given diagram in the equivalent low-pass range:
- Let the digital signal $q(t)$ possess the power-spectral density ${\it \Phi}_q(f)$, which is to be approximated as rectangular with bandwidth $B = 1/T = 100\ \rm kHz$ (a rather unrealistic assumption):
- $${\it \Phi}_{q}(f) = \left\{ \begin{array}{c} {\it \Phi}_{0} \\ 0 \\ \end{array} \right. \begin{array}{*{10}c} {\rm{for}} \\ {\rm{otherwise}} \hspace{0.05cm}. \\ \end{array}\begin{array}{*{20}c} |f| <B/2 \hspace{0.05cm}, \\ \\ \end{array}$$
- Thus, in the low-pass range, the bandwidth (only the components at positive frequencies) is equal to $B/2$ and the bandwidth in the band-pass range is $B$.
- The band spreading is done by multiplication with the PN sequence $c(t)$ of the chip duration $T_c = T/100$
("PN" stands for "pseudo-noise"). - To simplify matters, the following applies to the auto-correlation function:
- $$ {\it \varphi}_{c}(\tau) = \left\{ \begin{array}{c}1 - |\tau|/T_c \\ 0 \\ \end{array} \right. \begin{array}{*{10}c} {\rm{for}} \\ {\rm{otherwise}} \hspace{0.05cm}. \\ \end{array}\begin{array}{*{20}c} -T_c \le \tau \le T_c \hspace{0.05cm}, \\ \\ \end{array}$$
- At the receiver, the same spreading sequence $c(t)$ is again added phase-synchronously.
- The interference signal $i(t)$ is to be neglected for the time being.
- In subtask (4) $i(t)$ denotes a narrowband interferer at carrier frequency $f_{\rm T} = 30 \ \rm MHz = f_{\rm I}$ with power $P_{\rm I}$.
- The influence of the (always present) AWGN noise $n(t)$ is not considered in this exercise.
Note:
- This exercise belongs to the chapter Direct-Sequence Spread Spectrum Modulation.
Questions
Solution
(1) The power-spectral density $\rm (PDS)$ ${\it \Phi}_c(f)$ is the Fourier transform of the triangular ACF, which can be represented with rectangles of width $T_c$ as follows:
- $${\it \varphi}_{c}(\tau) = \frac{1}{T_c} \cdot {\rm rect} \big(\frac{\tau}{T_c} \big ) \star {\rm rect} \big(\frac{\tau}{T_c} \big ) \hspace{0.05cm}.$$
- From this follows ${\it \Phi}_{c}(f) = {1}/{T_c} \cdot \big[ T_c \cdot {\rm sinc} \left(f T_c \right ) \big ] \cdot \big[ T_c \cdot {\rm sinc} \left(f T_c \right ) \big ] = T_c \cdot {\rm sinc}^2 \left(f T_c \right ) \hspace{0.05cm}$ with maximum value
- $${\it \Phi}_{c}(f = 0) = T_c = \frac{T}{100}= \frac{1}{100 \cdot B} = \frac{1}{100 \cdot 10^5\,{\rm 1/s}} = 10^{-7}\,{\rm 1/Hz} \hspace{0.15cm}\underline {= 0.1 \cdot 10^{-6}\,{\rm 1/Hz}}\hspace{0.05cm}.$$
(2) By definition, with $T_c = T/100 = 0.1\ \rm µ s$:
- $$B_c= \frac{1}{T_c} \cdot \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\it \Phi}_{c}(f)\hspace{0.1cm} {\rm d}f = \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\rm sinc}^2 \left(f T_c \right )\hspace{0.1cm} {\rm d}f $$
- $$\Rightarrow \hspace{0.3cm} B_c= \frac{1}{T_c}\hspace{0.15cm}\underline {= 10\,{\rm MHz}} \hspace{0.05cm}$$
The graph illustrates,
- that $B_c$ is given by the first zero of the $\rm sinc^2$ function in the equivalent low-pass range,
- but at the same time also gives the equivalent (equal area) bandwidth in the band-pass region.
(3) Solutions 2 and 5 are correct:
- The PDS ${\it \Phi}_s(f)$ results from the convolution of ${\it \Phi}_q(f)$ and ${\it \Phi}_c(f)$. This actually gives $B_s = B_c + B$ for the bandwidth of the transmitted signal.
- Since the spreading signal $c(t) ∈ \{+1, –1\}$ multiplied by itself always gives the value $1$, naturally $b(t) ≡ q(t)$ and consequently $B_b = B$.
- Obviously, the bandwidth $B_b$ of the band compressed signal is not equal to $2B_c + B$, although the convolution ${\it \Phi}_s(f) ∗ {\it \Phi}_c(f)$ suggests this.
- This is due to the fact that the power density spectra must not be convolved, but the spectral functions (amplitude spectra) $S(f)$ and $C(f)$ must be assumed, taking into account the phase relations.
- Only then can the PDS $B(f)$ be determined from ${\it \Phi}_b(f)$. Clearly, the following is also true: $C(f) ∗ C(f) = δ(f)$.
(4) Only the first solution is correct. The solution shall be clarified by the diagram at the end of the page:
- In the upper diagram the PDS ${\it \Phi}_i(f)$ of the narrowband interferer is approximated by two Dirac delta functions at $±f_{\rm T}$ with weights $P_{\rm I}/2$. Also plotted is the bandwidth $B = 0.1 \ \rm MHz$ (not quite true to scale).
- The receiver-side multiplication with $c(t)$ – actually with the function of the band compression, at least with respect to the useful part of $r(t)$ – causes a band spreading with respect to the interference signal $i(t)$. Without considering the useful signal, $b(t) = n(t) = i(t) · c(t)$. It follows:
- $${\it \Phi}_{n}(f) = {\it \Phi}_{i}(f) \star {\it \Phi}_{c}(f) = \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f - f_{\rm T}) \cdot T_c \right )+ \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f + f_{\rm T}) \cdot T_c \right ) \hspace{0.05cm}.$$
- Note that $n(t)$ is used here only as an abbreviation and does not denote AWGN noise.
- In a narrow range around the carrier frequency $f_{\rm T} = 30 \ \rm MHz$, the PDS ${\it \Phi}_n(f)$ is almost constant. Thus, the interference power after band spreading is:
- $$ P_{n} = P_{\rm I} \cdot T_c \cdot B = P_{\rm I}\cdot \frac{B}{B_c} = \frac{P_{\rm I}}{J}\hspace{0.05cm}. $$
- This means: The interference power is reduced by the factor $J = T/T_c$ by band spreading, which is why $J$ is often called "spreading gain".
- However, such a "spreading gain" is only given for a narrowband interferer.