Difference between revisions of "Aufgaben:Exercise 1.10Z: Gaussian Band-Pass"

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===Solution===
 
===Solution===
 
{{ML-Kopf}}
 
{{ML-Kopf}}
'''(1)'''  For the bandpass frequency response $H_{\rm K}(f)$ we can write:
+
'''(1)'''  For the band-pass frequency response  $H_{\rm K}(f)$  we can write:
 
:$$H_{\rm K}(f) = H_{\rm K,\hspace{0.04cm} TP}(f) \star \big [ \delta (f - f_{\rm M}) + \delta (f + f_{\rm M}) \big ] .$$
 
:$$H_{\rm K}(f) = H_{\rm K,\hspace{0.04cm} TP}(f) \star \big [ \delta (f - f_{\rm M}) + \delta (f + f_{\rm M}) \big ] .$$
*The Fourier inverse transform of the bracket expression yields a cosine function of frequency $f_{\rm M}$ with amplitude $2$.  
+
*The Fourier inverse transform of the bracket expression yields a cosine function of frequency  $f_{\rm M}$  with amplitude  $2$.  
*Thus, according to the convolution theorem:
+
 
 +
*Thus,  according to the convolution theorem:
 
:$$h_{\rm K}(t) = 2 \cdot \Delta f_{\rm K} \cdot {\rm exp} \left [ - \pi \cdot \left ( {\Delta f_{\rm K}} \cdot t \right )^2 \right ] \cdot \cos(2 \pi f_{\rm M} t ) \hspace{0.3cm} \Rightarrow \hspace{0.3cm}h_{\rm K}(t = 0)/\Delta f_{\rm K} \hspace{0.1cm}\underline {= 2}.$$
 
:$$h_{\rm K}(t) = 2 \cdot \Delta f_{\rm K} \cdot {\rm exp} \left [ - \pi \cdot \left ( {\Delta f_{\rm K}} \cdot t \right )^2 \right ] \cdot \cos(2 \pi f_{\rm M} t ) \hspace{0.3cm} \Rightarrow \hspace{0.3cm}h_{\rm K}(t = 0)/\Delta f_{\rm K} \hspace{0.1cm}\underline {= 2}.$$
*This means: The TP impulse response $h_{\rm K,\hspace{0.04cm}TP}(t)$ is identical in shape to the envelope of the bp impulse response $h_{\rm K}(t)$, but twice as large.
+
*This means:  The low-pass impulse response  $h_{\rm K,\hspace{0.04cm}TP}(t)$  is identical in shape to the envelope of the band-pass impulse response  $h_{\rm K}(t)$,  but twice as large.
 +
 
 +
 
 +
[[File:P_ID1698__Dig_Z_4_3_b.png|right|frame|Resulting baseband frequency response for $f_{\rm T} = f_{\rm M}$]]
 +
'''(2)'''&nbsp;  <u>Statements 2, 3 and 4</u>&nbsp; are correct:
 +
*The first statement is false because&nbsp; $H_{\rm MKD}(f)$&nbsp; also has components around&nbsp; $\pm 2f_{\rm T}$.  
  
 +
*The time function&nbsp; $h_{\rm K,\hspace{0.04cm}TP}(t)$&nbsp; is real according to the given equation.
  
'''(2)'''&nbsp;  <u>Statements 2, 3 and 4</u> are correct:
+
*The same is true for&nbsp; $h_{\rm MKD}(t)$&nbsp; also considering the&nbsp; $\pm 2f_{\rm T}$&nbsp; parts,&nbsp; since&nbsp; $H_{\rm MKD}(f)$&nbsp; is an even function with respect&nbsp; to $f = 0$.
*The first statement is false because $H_{\rm MKD}(f)$ also has components around $\pm 2f_{\rm T}$.
+
*The time function $h_{\rm K,\hspace{0.04cm}TP}(t)$ is real according to the given equation.
+
*The diagram shows&nbsp; $H_{\rm MKD}(f)$,&nbsp; which also has components around&nbsp; $\pm 2f_{\rm T}$.&nbsp; At low frequencies,&nbsp; $H_{\rm K,\hspace{0.04cm}TP}(f)$&nbsp; is identical to&nbsp; $H_{\rm MKD}(f)$.
*The same is true for $h_{\rm MKD}(t)$ also considering the $\pm 2f_{\rm T}$ components, since $H_{\rm MKD}(f)$ is an even function with respect to $f = 0$.  
 
*The diagram shows $H_{\rm MKD}(f)$, which also has components around $\pm 2f_{\rm T}$. At low frequencies, $H_{\rm K,\hspace{0.04cm}TP}(f)$ is identical to $H_{\rm MKD}(f)$.
 
  
  
[[File:P_ID1698__Dig_Z_4_3_b.png|center|frame|Resulting baseband frequency response for $f_{\rm M} = f_{\rm T}$]]
 
  
 +
[[File:P_ID1699__Dig_Z_4_3c.png|right|frame|Resulting baseband frequency response for $f_{\rm T} \ne f_{\rm M}$]]
 
'''(3)'''&nbsp;  Only <u>solution 4</u> is correct:
 
'''(3)'''&nbsp;  Only <u>solution 4</u> is correct:
 
*Here $H_{\rm K,\hspace{0.04cm}TP}(f)$ and $H_{\rm MKD}(f)$ differ even at the low frequencies.
 
*Here $H_{\rm K,\hspace{0.04cm}TP}(f)$ and $H_{\rm MKD}(f)$ differ even at the low frequencies.
*$H_{\rm K,\hspace{0.04cm}TP}(f)$ is a Gaussian function with the maximum at $f_{ε} = f_{\rm M} - f_{\rm T}$.  
+
*$H_{\rm K,\hspace{0.04cm}TP}(f)$&nbsp; is a Gaussian function with maximum at&nbsp; $f_{ε} = f_{\rm M} - f_{\rm T}$.  
*Because of this asymmetry, $h_{\rm K,\hspace{0.04cm}TP}(t)$ is complex.
+
*Because of this asymmetry,&nbsp; $h_{\rm K,\hspace{0.04cm}TP}(t)$&nbsp; is complex.
*In contrast, $H_{\rm MKD}(f)$ is still an even function with respect to $f = 0$ with real impulse response $h_{\rm MKD}(t)$.  
+
*In contrast,&nbsp; $H_{\rm MKD}(f)$&nbsp; is still an even function with respect to&nbsp; $f = 0$&nbsp; with real impulse response&nbsp; $h_{\rm MKD}(t)$.  
*$H_{\rm MKD}(f)$ is composed of two Gaussian functions at $± f_ε$.  
+
*$H_{\rm MKD}(f)$&nbsp; is composed of two Gaussian functions at&nbsp; $± f_ε$.  
  
  
[[File:P_ID1699__Dig_Z_4_3c.png|center|frame|Resulting baseband frequency response for $f_{\rm M} \ne f_{\rm T}$]]
 
  
'''(4)'''&nbsp; Correct is of course the <u>first answer.</u>
+
'''(4)'''&nbsp; Correct is of course the&nbsp; <u>first answer.</u>
  
  

Latest revision as of 15:13, 7 May 2022

Gaussian band-pass channel

For this exercise we assume:

  • Binary phase modulation  $\rm (BPSK)$  is used for modulation.
  • Demodulation is synchronous in frequency and phase.


For carrier frequency modulated transmission,  the channel frequency response  $H_{\rm K}(f)$  must always be assumed to be a band-pass.  The channel parameters are  e.g.  the center frequency  $f_{\rm M}$  and the bandwidth  $\Delta f_{\rm K}$,  where the center frequency  (German:  "Mittenfrequenz"   ⇒   subscipt:  "M")  $f_{\rm M}$  often coincides with the carrier frequency  (German:  "Trägerfrequenz"   ⇒   subscipt:  "T")  $f_{\rm T}$. 

In this exercise we will assume a Gaussian band-pass according to the diagram.  For its frequency response holds:

$$H_{\rm K}(f) = {\rm exp} \left [ - \pi \cdot \left ( \frac {f - f_{\rm M} }{\Delta f_{\rm K}}\right )^2 \right ] +{\rm exp} \left [ - \pi \cdot \left ( \frac {f + f_{\rm M} }{\Delta f_{\rm K}}\right )^2 \right ]$$

For a simpler description,  one often uses the equivalent low-pass  ("TP")  frequency response  $H_{\rm K,TP}(f)$.  This results from  $H_{\rm K}(f)$  by

  • truncating the components at negative frequencies,
  • shifting the spectrum by  $f_{\rm T}$  to the left.


In the considered example with  $f_{\rm T} = f_{\rm M}$  for the equivalent low-pass frequency response results:

$$ H_{\rm K,\hspace{0.04cm} TP}(f) = {\rm e}^ { - \pi \hspace{0.04cm}\cdot \hspace{0.04cm}\left ( {f }/{\Delta f_{\rm K}}\right )^2 }.$$

The corresponding time function  ("inverse Fourier transform")  is:

$$ h_{\rm K,\hspace{0.04cm} TP}(t) = \Delta f_{\rm K} \cdot {\rm e}^ { - \pi \hspace{0.04cm}\cdot \hspace{0.04cm}\left ( {\Delta f_{\rm K}} \cdot t \right )^2 }.$$

However,  the frequency response is also suitable for describing a phase-synchronous BPSK system in the low-pass range

$$H_{\rm MKD}(f) = {1}/{2} \cdot \left [ H_{\rm K}(f-f_{\rm T}) + H_{\rm K}(f+f_{\rm T})\right ] ,$$

where  "MKD"  stands for  "modulator – channel (Kanal) – demodulator".  Often - but not always -  $H_{\rm MKD}(f)$  and  $H_{\rm K,TP}(f)$  are identical.



Notes:


Questions

1

Give the impulse response  $h_{\rm K}(t)$  of the Gaussian band-pass channel.  What is the  (normalized)  value for time  $t = 0$?

$ h_{\rm K}(t)/\Delta f_{\rm K} \ = \ $

2

Which statements are valid under the condition  $f_{\rm T} = f_{\rm M}$?

$H_{\rm K,TP}(f)$  and  $H_{\rm MKD}(f)$  coincide completely.
$H_{\rm K,TP}(f)$  and  $H_{\rm MKD}(f)$  are the same for low frequencies.
The time function  $h_{\rm K,TP}(t)$  is real.
The time function  $h_{\rm MKD}(t)$  is real.

3

Which statements are true under the condition  $f_{\rm T} \neq f_{\rm M}$?

$H_{\rm K,TP}(f)$  and  $H_{\rm MKD}(f)$  coincide completely.
$H_{\rm K,TP}(f)$  and  $H_{\rm MKD}(f)$  are the same for low frequencies.
The time function  $h_{\rm K,TP}(t)$  is real.
The time function  $h_{\rm MKD}(t)$  is real.

4

What should be true with respect to a smaller bit error probability?

$f_{\rm M} = f_{\rm T}$,
$f_{\rm M} \neq f_{\rm T}$.


Solution

(1)  For the band-pass frequency response  $H_{\rm K}(f)$  we can write:

$$H_{\rm K}(f) = H_{\rm K,\hspace{0.04cm} TP}(f) \star \big [ \delta (f - f_{\rm M}) + \delta (f + f_{\rm M}) \big ] .$$
  • The Fourier inverse transform of the bracket expression yields a cosine function of frequency  $f_{\rm M}$  with amplitude  $2$.
  • Thus,  according to the convolution theorem:
$$h_{\rm K}(t) = 2 \cdot \Delta f_{\rm K} \cdot {\rm exp} \left [ - \pi \cdot \left ( {\Delta f_{\rm K}} \cdot t \right )^2 \right ] \cdot \cos(2 \pi f_{\rm M} t ) \hspace{0.3cm} \Rightarrow \hspace{0.3cm}h_{\rm K}(t = 0)/\Delta f_{\rm K} \hspace{0.1cm}\underline {= 2}.$$
  • This means:  The low-pass impulse response  $h_{\rm K,\hspace{0.04cm}TP}(t)$  is identical in shape to the envelope of the band-pass impulse response  $h_{\rm K}(t)$,  but twice as large.


Resulting baseband frequency response for $f_{\rm T} = f_{\rm M}$

(2)  Statements 2, 3 and 4  are correct:

  • The first statement is false because  $H_{\rm MKD}(f)$  also has components around  $\pm 2f_{\rm T}$.
  • The time function  $h_{\rm K,\hspace{0.04cm}TP}(t)$  is real according to the given equation.
  • The same is true for  $h_{\rm MKD}(t)$  also considering the  $\pm 2f_{\rm T}$  parts,  since  $H_{\rm MKD}(f)$  is an even function with respect  to $f = 0$.
  • The diagram shows  $H_{\rm MKD}(f)$,  which also has components around  $\pm 2f_{\rm T}$.  At low frequencies,  $H_{\rm K,\hspace{0.04cm}TP}(f)$  is identical to  $H_{\rm MKD}(f)$.


Resulting baseband frequency response for $f_{\rm T} \ne f_{\rm M}$

(3)  Only solution 4 is correct:

  • Here $H_{\rm K,\hspace{0.04cm}TP}(f)$ and $H_{\rm MKD}(f)$ differ even at the low frequencies.
  • $H_{\rm K,\hspace{0.04cm}TP}(f)$  is a Gaussian function with maximum at  $f_{ε} = f_{\rm M} - f_{\rm T}$.
  • Because of this asymmetry,  $h_{\rm K,\hspace{0.04cm}TP}(t)$  is complex.
  • In contrast,  $H_{\rm MKD}(f)$  is still an even function with respect to  $f = 0$  with real impulse response  $h_{\rm MKD}(t)$.
  • $H_{\rm MKD}(f)$  is composed of two Gaussian functions at  $± f_ε$.


(4)  Correct is of course the  first answer.