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 spectrum  ${\it \Phi}_q(f)$,  which is to be approximated as rectangular with bandwidth  $B = 1/T = 100\ \rm  kHz$   (a rather unrealistic assumption):
+
*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 &nbsp;$c(t)$&nbsp; of the chip duration &nbsp;$T_c = T/100$&nbsp; <br>("PN" stands for "pseudo-noise").  
 
*The band spreading is done by multiplication with the PN sequence &nbsp;$c(t)$&nbsp; of the chip duration &nbsp;$T_c = T/100$&nbsp; <br>("PN" stands for "pseudo-noise").  
*To simplify matters,&nbsp; the following applies to the autocorrelation function:
+
*To simplify matters,&nbsp; 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,&nbsp; the same spreading sequence &nbsp;$c(t)$&nbsp; is again added phase-synchronously.
 
*At the receiver,&nbsp; the same spreading sequence &nbsp;$c(t)$&nbsp; is again added phase-synchronously.
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<quiz display=simple>
 
<quiz display=simple>
{What is the power density spectrum &nbsp;${\it \Phi}_c(f )$&nbsp; of the spreading signal &nbsp;$c(t)$?&nbsp; What value results at the frequency &nbsp;$f = 0$?
+
{What is the power-spectral density &nbsp;${\it \Phi}_c(f )$&nbsp; of the spreading signal &nbsp;$c(t)$?&nbsp; What value results at the frequency &nbsp;$f = 0$?
 
|type="{}"}
 
|type="{}"}
 
${\it \Phi}_c(f = 0) \ = \ $ { 0.1 3% } $\ \cdot 10^{-6} \ \rm 1/Hz$
 
${\it \Phi}_c(f = 0) \ = \ $ { 0.1 3% } $\ \cdot 10^{-6} \ \rm 1/Hz$
  
{Calculate the equivalent bandwidth &nbsp;$B_c$&nbsp; of the spread signal as the width of the equal-area LDS rectangle.
+
{Calculate the equivalent bandwidth &nbsp;$B_c$&nbsp; of the spread signal as the width of the equal-area&nbsp; $\rm PDS$&nbsp; rectangle.
 
|type="{}"}
 
|type="{}"}
 
$B_c \ = \ $ { 10 3% } $\ \rm MHz$
 
$B_c \ = \ $ { 10 3% } $\ \rm MHz$
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+ $B_b$&nbsp; is exactly equal to &nbsp;$B$.
 
+ $B_b$&nbsp; is exactly equal to &nbsp;$B$.
  
{What is the effect of band spreading on a narrowband interferer at the carrier frequency?&nbsp; Let &nbsp;$f_{\rm I} = f_{\rm T}$.
+
{What is the effect of band spreading on a&nbsp; "narrowband interferer"&nbsp; at the carrier frequency?&nbsp; Let &nbsp;$f_{\rm I} = f_{\rm T}$.
 
|type="[]"}
 
|type="[]"}
 
+ The interfering influence is weakened by band spreading.
 
+ The interfering influence is weakened by band spreading.
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===Solution===
 
===Solution===
 
{{ML-Kopf}}
 
{{ML-Kopf}}
'''(1)'''&nbsp; The power density spectrum&nbsp; ${\it \Phi}_c(f)$&nbsp; is the Fourier transform of the triangular AKF, which can be represented with rectangles of width&nbsp; $T_c$&nbsp; as follows:
+
'''(1)'''&nbsp; The power-spectral density&nbsp; $\rm (PDS)$&nbsp; ${\it \Phi}_c(f)$&nbsp; is the Fourier transform of the triangular ACF,&nbsp; which can be represented with rectangles of width&nbsp; $T_c$&nbsp; 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 &nbsp;${\it \Phi}_{c}(f) = {1}/{T_c} \cdot \big[ T_c \cdot {\rm si} \left(\pi f T_c \right ) \big ] \cdot \big[ T_c \cdot {\rm si} \left(\pi f T_c \right ) \big ] = T_c \cdot {\rm si}^2 \left(\pi f T_c \right ) \hspace{0.05cm}$&nbsp; with maximum value
+
*From this follows &nbsp;${\it \Phi}_{c}(f) = {1}/{T_c} \cdot \big[ T_c \cdot {\rm sinc} \left(f T_c \right ) \big ] \cdot \big[ T_c \cdot {\rm sinc} \left(f T_c \right ) \big ] = T_c \cdot {\rm sinc}^2 \left(f T_c \right ) \hspace{0.05cm}$&nbsp; 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)'''&nbsp; By definition,&nbsp; with&nbsp; $T_c = T/100 = 0.1\ \rm  &micro; s$:
 
+
[[File:P_ID1869__Mod_A_5_2b.png|right|frame|Power density spectrum of the pseudo-noise spread signal]]
[[File:P_ID1869__Mod_A_5_2b.png|right|frame|Power density spectrum of the PN 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)'''&nbsp; By definition, with&nbsp; $T_c = T/100 = 0.1\ \rm  &micro; s$:
+
:$$\Rightarrow \hspace{0.3cm} B_c=  \frac{1}{T_c}\hspace{0.15cm}\underline {= 10\,{\rm MHz}} \hspace{0.05cm}$$
:$$B_c= \frac{1}{T_c} \cdot \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\it \Phi}_{c}(f)\hspace{0.1cm} {\rm d}f = \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\rm si}^2 \left(\pi f T_c \right )\hspace{0.1cm} {\rm d}f $$
 
:$$\Rightarrow \hspace{0.3cm} B_c=  = \frac{1}{T_c}\hspace{0.15cm}\underline {= 10\,{\rm MHz}} \hspace{0.05cm}$$
 
 
The graph illustrates,
 
The graph illustrates,
*that&nbsp; $B_c$&nbsp; is given by the first zero of the&nbsp; $\rm si^2$ function in the equivalent low-pass range,
+
*that&nbsp; $B_c$&nbsp; is given by the first zero of the&nbsp; $\rm sinc^2$ function in the equivalent low-pass range,
*but at the same time also gives the equivalent&nbsp; (equal area)&nbsp; bandwidth in the bandpass region.
+
*but at the same time also gives the equivalent&nbsp; (equal area)&nbsp; bandwidth in the band-pass region.
 
 
  
  
  
'''(3)'''&nbsp; <u>Solutions 2 and 5</u> are correct:
+
'''(3)'''&nbsp; <u>Solutions 2 and 5</u>&nbsp; are correct:
*The LDS&nbsp; ${\it \Phi}_s(f)$&nbsp; results from the convolution of&nbsp; ${\it \Phi}_q(f)$&nbsp; and&nbsp; ${\it \Phi}_c(f)$.&nbsp; This actually gives&nbsp; $B_s = B_c + B$ for the bandwidth of the transmitted signal.  
+
*The PDS&nbsp; ${\it \Phi}_s(f)$&nbsp; results from the convolution of&nbsp; ${\it \Phi}_q(f)$&nbsp; and&nbsp; ${\it \Phi}_c(f)$.&nbsp; This actually gives&nbsp; $B_s = B_c + B$&nbsp; for the bandwidth of the transmitted signal.  
 
*Since the spreading signal&nbsp; $c(t) ∈ \{+1, –1\}$&nbsp; multiplied by itself always gives the value&nbsp; $1$,&nbsp; naturally&nbsp; $b(t) ≡ q(t)$&nbsp; and consequently&nbsp; $B_b = B$.  
 
*Since the spreading signal&nbsp; $c(t) ∈ \{+1, –1\}$&nbsp; multiplied by itself always gives the value&nbsp; $1$,&nbsp; naturally&nbsp; $b(t) ≡ q(t)$&nbsp; and consequently&nbsp; $B_b = B$.  
 
*Obviously, the bandwidth&nbsp; $B_b$&nbsp; of the band compressed signal is not equal to&nbsp; $2B_c + B$,&nbsp; although the convolution&nbsp; ${\it \Phi}_s(f) ∗ {\it \Phi}_c(f)$&nbsp; suggests this.
 
*Obviously, the bandwidth&nbsp; $B_b$&nbsp; of the band compressed signal is not equal to&nbsp; $2B_c + B$,&nbsp; although the convolution&nbsp; ${\it \Phi}_s(f) ∗ {\it \Phi}_c(f)$&nbsp; suggests this.
 
*This is due to the fact that the power density spectra must not be convolved, but the spectral functions&nbsp; (amplitude spectra)&nbsp; $S(f)$&nbsp; and&nbsp; $C(f)$&nbsp; 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&nbsp; (amplitude spectra)&nbsp; $S(f)$&nbsp; and&nbsp; $C(f)$&nbsp; must be assumed, taking into account the phase relations.
*Only then can the LDS&nbsp; $B(f)$&nbsp; be determined from&nbsp; ${\it \Phi}_b(f)$.&nbsp; Clearly, the following is also true:&nbsp; $C(f) ∗ C(f) = δ(f)$.  
+
*Only then can the PDS&nbsp; $B(f)$&nbsp; be determined from&nbsp; ${\it \Phi}_b(f)$.&nbsp; Clearly,&nbsp; the following is also true: &nbsp; $C(f) ∗ C(f) = δ(f)$.  
  
  
  
'''(4)'''&nbsp; Only the <u>first solution</u> is correct. The solution shall be clarified by the diagram at the end of the page:
+
'''(4)'''&nbsp; Only the&nbsp; <u>first solution</u>&nbsp; is correct.&nbsp; The solution shall be clarified by the diagram at the end of the page:
*In the upper diagram the LDS&nbsp; ${\it \Phi}_i(f)$&nbsp; of the narrowband interferer is approximated by two Dirac functions at&nbsp; $±f_{\rm T}$&nbsp; with weights&nbsp; $P_{\rm I}/2$.&nbsp;&nbsp; Also plotted is the bandwidth&nbsp; $B = 0.1 \ \rm MHz$&nbsp; (not quite true to scale).
+
*In the upper diagram the PDS&nbsp; ${\it \Phi}_i(f)$&nbsp; of the narrowband interferer is approximated by two Dirac delta functions at&nbsp; $±f_{\rm T}$&nbsp; with weights&nbsp; $P_{\rm I}/2$.&nbsp;&nbsp; Also plotted is the bandwidth&nbsp; $B = 0.1 \ \rm MHz$&nbsp; (not quite true to scale).
  
*The receiver-side multiplication with&nbsp; $c(t)$&nbsp; – actually with the function of the band compression, at least with respect to the useful part of&nbsp; $r(t)$ – causes a band spreading with respect to the interference signal&nbsp; $i(t)$.&nbsp;Without considering the useful signal,&nbsp; $b(t) = n(t) = i(t) · c(t)$.&nbsp; It follows:
+
*The receiver-side multiplication with&nbsp; $c(t)$&nbsp; – actually with the function of the band compression,&nbsp; at least with respect to the useful part of&nbsp; $r(t)$ –&nbsp; causes a band spreading with respect to the interference signal&nbsp; $i(t)$.&nbsp; Without considering the useful signal,&nbsp; $b(t) = n(t) = i(t) · c(t)$.&nbsp; It follows:
:$${\it \Phi}_{n}(f)  =  {\it \Phi}_{i}(f) \star {\it \Phi}_{c}(f) =  \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm si}^2 \left( \pi \cdot (f - f_{\rm T}) \cdot T_c \right )+ \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm si}^2 \left( \pi \cdot (f + f_{\rm T}) \cdot T_c \right ) \hspace{0.05cm}.$$
+
:$${\it \Phi}_{n}(f)  =  {\it \Phi}_{i}(f) \star {\it \Phi}_{c}(f) =  \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left(   (f - f_{\rm T}) \cdot T_c \right )+ \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f + f_{\rm T}) \cdot T_c \right ) \hspace{0.05cm}.$$
 
[[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&nbsp; $n(t)$&nbsp; is used here only as an abbreviation and does not denote AWGN noise. &nbsp;  
 
*Note that&nbsp; $n(t)$&nbsp; is used here only as an abbreviation and does not denote AWGN noise. &nbsp;  
*In a narrow range around the carrier frequency&nbsp; $f_{\rm T} = 30 \ \rm MHz$,&nbsp; the LDS&nbsp; ${\it \Phi}_n(f)$&nbsp; is almost constant.&nbsp; Thus, the interference power after band spreading is:
+
*In a narrow range around the carrier frequency&nbsp; $f_{\rm T} = 30 \ \rm MHz$,&nbsp; the PDS&nbsp; ${\it \Phi}_n(f)$&nbsp; is almost constant.&nbsp; Thus,&nbsp; 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: &nbsp; the interference power is reduced by the factor&nbsp; $J = T/T_c$&nbsp; by band spreading, which is why&nbsp; $J$&nbsp; is often called spreading gain.
+
*This means: &nbsp; The interference power is reduced by the factor&nbsp; $J = T/T_c$&nbsp; by band spreading,&nbsp; which is why&nbsp; $J$&nbsp; is often called&nbsp; "spreading gain".
*However, such a spreading gain is only given for a narrowband interferer.
+
*However,&nbsp; such a&nbsp; "spreading gain"&nbsp; is only given for a narrowband interferer.
  
  

Latest revision as of 12:41, 17 February 2022

Considered model
of band spreading

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:


Questions

1

What is the power-spectral density  ${\it \Phi}_c(f )$  of the spreading signal  $c(t)$?  What value results at the frequency  $f = 0$?

${\it \Phi}_c(f = 0) \ = \ $

$\ \cdot 10^{-6} \ \rm 1/Hz$

2

Calculate the equivalent bandwidth  $B_c$  of the spread signal as the width of the equal-area  $\rm PDS$  rectangle.

$B_c \ = \ $

$\ \rm MHz$

3

Which statements are true for the bandwidths of the signals  $s(t)$   ⇒   $B_s$ and  $b(t)$   ⇒   $B_b$?  The (two-sided) bandwidth of  $q(t)$  is  $B$.

$B_s$  is exactly equal to  $B_c$.
$B_s$  is approximately equal to  $B_c + B$.
$B_b$  is exactly equal to  $B_s$.
$B_b$  is equal to  $B_s + B_c = 2B_c + B$.
$B_b$  is exactly equal to  $B$.

4

What is the effect of band spreading on a  "narrowband interferer"  at the carrier frequency?  Let  $f_{\rm I} = f_{\rm T}$.

The interfering influence is weakened by band spreading.
The interfering power is only half as large.
The interfering power is not changed by band spreading.


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  $T_c = T/100 = 0.1\ \rm µ s$:

Power density spectrum of the pseudo-noise spread signal
$$B_c= \frac{1}{T_c} \cdot \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\it \Phi}_{c}(f)\hspace{0.1cm} {\rm d}f = \hspace{-0.03cm} \int_{-\infty }^{+\infty} \hspace{-0.03cm} {\rm sinc}^2 \left(f T_c \right )\hspace{0.1cm} {\rm d}f $$
$$\Rightarrow \hspace{0.3cm} B_c= \frac{1}{T_c}\hspace{0.15cm}\underline {= 10\,{\rm MHz}} \hspace{0.05cm}$$

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:
$${\it \Phi}_{n}(f) = {\it \Phi}_{i}(f) \star {\it \Phi}_{c}(f) = \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f - f_{\rm T}) \cdot T_c \right )+ \frac{P_{\rm I}\cdot T_c}{2}\cdot {\rm sinc}^2 \left( (f + f_{\rm T}) \cdot T_c \right ) \hspace{0.05cm}.$$
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.  
  • 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.