Aufgaben:Exercise 2.3: Yet Another Multi-Path Channel: Difference between revisions
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{{quiz-Header|Buchseite= | {{quiz-Header|Buchseite=Mobile_Communications/Multipath_Reception_in_Mobile_Communications}} | ||
[[File:P_ID2160__Mob_A_2_3.png|right|frame| | [[File:P_ID2160__Mob_A_2_3.png|right|frame|Given piecewise constant impulse response]] | ||
We consider a multipath channel, which is characterized by the following impulse response: | We consider a multipath channel, which is characterized by the following impulse response: | ||
$$h(\tau, \hspace{0.05cm} t) = h(\tau) = \sum_{m = 1}^{M} k_m \cdot \delta( \tau - \tau_m) | :$$h(\tau, \hspace{0.05cm} t) = h(\tau) = \sum_{m = 1}^{M} k_m \cdot \delta( \tau - \tau_m)\hspace{0.05cm}.$$ | ||
All coefficients $k_{m}$ are real (positive or negative). Furthermore, we note | All coefficients $k_{m}$ are real (positive or negative). Furthermore, we note: | ||
* From the specification $h(\tau, \hspace{0.05cm}t) = h(\tau)$ you can see that the channel is time invariant. | * From the specification $h(\tau, \hspace{0.05cm}t) = h(\tau)$ you can see that the channel is time–invariant. | ||
* Generally, the channel has $M$ paths. | * Generally, the channel has $M$ paths. The value of $M$ should be determined from the graph. | ||
* The following relations apply to the delay times: $\tau_1 < \tau_2 < \tau_3 < \ \ text{...}$ | * The following relations apply to the delay times: $\tau_1 < \tau_2 < \tau_3 < \ \text{...}$. | ||
The graph shows the output signal $r(\tau)$ of the channel when the following | The graph shows the output signal $r(\tau)$ of the channel when the following transmitted signal is present at the input (shown in the equivalent low-pass range): | ||
:$$s(\tau) = \left\{ \begin{array}{c} s_0\\ | :$$s(\tau) = \left\{ \begin{array}{c} s_0\\0 \end{array} \right.\quad\begin{array}{*{1}c} 0 \le \tau < 5\,{\rm µ s},\\ {\rm otherwise}. \\ \end{array}$$ | ||
\begin{array}{*{1}c} 0 \le \tau < 5\,{\rm µ s}, | |||
\\ {\rm otherwise}. \\ \end{array}$$ | |||
We want to find the corresponding impulse response $h(\tau)$ as well as the transfer function $H(f)$. | We want to find the corresponding impulse response $h(\tau)$ as well as the transfer function $H(f)$. | ||
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''Notes:'' | ''Notes:'' | ||
* This task refers to the chapter [[ | * This task refers to the chapter [[Mobile_Communications/Multi-Path_Reception_in_Mobile_Communications| Multi–Path Reception in Mobile Communications]]. | ||
* For the solution of subtask '''(1)''' assume that the impulse response $h(\tau)$ has a span of | * For the solution of subtask '''(1)''' assume that the impulse response $h(\tau)$ has a span of five microseconds. | ||
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===Questionnaire=== | ===Questionnaire=== | ||
<quiz display=simple> | <quiz display=simple> | ||
{What is the impulse response $h(\tau)$? How many paths $(M)$ are there? | {What is the impulse response $h(\tau)$? How many paths $(M)$ are there? | ||
|type="{}"} | |type="{}"} | ||
$M \ = \ ${ 3 } | $M \ = \ ${ 3 } | ||
Specify the first three delays $\tau_m$ | {Specify the first three delays $\tau_m$. | ||
|type="{}"} | |type="{}"} | ||
$\tau_1 \ = \ ${ 0. } $\ \ \rm µ s$ | $\tau_1 \ = \ ${ 0. } $\ \ \rm µ s$ | ||
| Line 42: | Line 38: | ||
$\tau_3 \ = \ ${ 10 3% } $\ \ \rm µ s$ | $\tau_3 \ = \ ${ 10 3% } $\ \ \rm µ s$ | ||
{What are the weights of the first three Dirac | {What are the weights of the first three Dirac deltas? | ||
|type="{}"} | |type="{}"} | ||
$k_1 \ = \ ${ 0.75 3% } | $k_1 \ = \ ${ 0.75 3% } | ||
| Line 48: | Line 44: | ||
$k_3 \ = \ ${ 0.25 3% } | $k_3 \ = \ ${ 0.25 3% } | ||
{Calculate the frequency response $H(f)$. What is the frequency period $f_0$? <br><i>Note:</i> With integer $i$, it | {Calculate the frequency response $H(f)$. What is the frequency period $f_0$? <br><i> Note:</i> With integer $i$, it must hold that $H(f + i \cdot f_0) = H(f)$ . | ||
|type="{}"} | |type="{}"} | ||
$f_0 \ = \ ${ 500 3% } $\ \ \rm kHz$ | $f_0 \ = \ ${ 500 3% } $\ \ \rm kHz$ | ||
{Calculate the magnitude of the frequency response. Which values result for the frequencies $f = 0$, $f = 250 \ \rm kHz$ and $f = 500 \ \rm kHz$? | {Calculate the magnitude of the frequency response. Which values result for the frequencies $f = 0$, $f = 250 \ \rm kHz$ and $f = 500 \ \rm kHz$? | ||
|type="{}"} | |type="{}"} | ||
$|H(f = 0)| \ = \ ${ 0.5 3% } | $|H(f = 0)| \ = \ ${ 0.5 3% } | ||
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$|H(f = 500 \ \rm kHz)| \ = \ ${ 0.5 3% } | $|H(f = 500 \ \rm kHz)| \ = \ ${ 0.5 3% } | ||
{What is the worst value $({\rm worst \ case})$ for $k_3$ at frequency $f = 250 \ \rm kHz$? | {What is the worst value $({\rm worst \ case})$ for $k_3$ at frequency $f = 250 \ \rm kHz$ ? | ||
|type="{}"} | |type="{}"} | ||
$k_3 \ = \ ${ 1.25 3% } | $k_3 \ = \ ${ 1.25 3% } | ||
</quiz> | </quiz> | ||
=== | ===Solution=== | ||
{{ML-Kopf}} | {{ML-Kopf}} | ||
'''(1)''' Here $r(\tau) = s(\tau) ∗ h(\tau)$ | '''(1)''' Here we have $r(\tau) = s(\tau) ∗ h(\tau)$, where $s(\tau)$ denotes a rectangular pulse of duration $T = 5 \ \ \rm µ s$ and the impulse response $h(\tau)$ is made up of $M$ weighted Dirac functions at $\tau_1, \tau_2, \ \text{...} \ , \tau_M$. | ||
The sketched output signal $r(\tau)$ can only result if | The sketched output signal $r(\tau)$ can only result if | ||
* $\tau_1 = 0$ (otherwise $r(\tau)$ would not start at $\tau = 0$ | * $\tau_1 = 0$ $($otherwise $r(\tau)$ would not start at $\tau = 0)$, | ||
* $\tau_M = 10 | * $\tau_M = 10 \ \rm µ s$ $($this results in the rectangular section between $10 \ \rm µ s$ and $15 \ \ \rm µ s)$, | ||
* | * there is another Dirac function at $\tau_2 = 2 \ \rm µ s$ between the two. | ||
That means: The impulse response here consists of $\underline {M = 3}$ Dirac functions. | That means: The impulse response here consists of $\underline {M = 3}$ Dirac functions. | ||
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'''(3)''' If you compare input $s(\tau)$ and output $r(\tau)$, you will get the following results: | '''(3)''' If you compare input $s(\tau)$ and output $r(\tau)$, you will get the following results: | ||
* Interval $0 < \tau < 2 \ {\rm µ s} \text | * Interval $0 < \tau < 2 \ {\rm µ s} \text{:} \, s(\tau) = s_0, \hspace{1cm} r(\tau) = 0.75 \cdot s_0 \,\,\Rightarrow\,\, k_1 \ \underline {= 0.75}$, | ||
* Interval $2 \ {\rm µ s} < \tau < 5 \ {\rm µ s} \text | * Interval $2 \ {\rm µ s} < \tau < 5 \ {\rm µ s} \text{:} \, \hspace{2.45cm} r(\tau) =(k_1 + k_2) \cdot s_0 = 0.25 \cdot s_0 \Rightarrow k_2 \ \underline {= \, -0.50}$, | ||
* | * Interval $10 \ {\rm µ s} < \tau < 15 \ {\rm µ s} \text{:} \, \hspace{1.99cm} r(\tau) =k_3 \cdot s_0 = 0.25 \cdot s_0 \,\Rightarrow\, k_3 \ \underline {= 0.25}$. | ||
'''(4)''' | |||
$$h(\tau) = k_1 \cdot \delta( \tau) + k_2 \cdot \delta( \tau - \tau_2)+ k_3 \cdot \delta( \tau - \tau_3) \hspace{0.3cm} | |||
\Rightarrow \hspace{0.3cm}H(f) = k_1 + k_2 \cdot {\rm e}^{- {\rm j}\cdot 2 \pi f \tau_2}+ k_3 \cdot {\rm e}^{- {\rm j}\cdot 2 \pi f \tau_3} | '''(4)''' Using the time–shifting property, the Fourier transform of the impulse response $h(\tau)$ is: | ||
:$$h(\tau) = k_1 \cdot \delta( \tau) + k_2 \cdot \delta( \tau - \tau_2)+ k_3 \cdot \delta( \tau - \tau_3) \hspace{0.3cm}\Rightarrow \hspace{0.3cm}H(f) = k_1 + k_2 \cdot {\rm e}^{- {\rm j}\cdot 2 \pi f \tau_2}+ k_3 \cdot {\rm e}^{- {\rm j}\cdot 2 \pi f \tau_3}\hspace{0.05cm}. $$ | |||
Analysis of the individual contributions leads to the following conclusion: | Analysis of the individual contributions leads to the following conclusion: | ||
* The first | * The first part is constant ⇒ periode $f_1 → ∞$.. | ||
* The second | * The second part is periodic with $f_2 = 1/\tau_2 = 500 \ \rm kHz$. | ||
* The third | * The third part is periodic with $f_3 = 1/\tau_3 = 100 \ \rm kHz$. | ||
⇒ | ⇒ $H(f)$ is thus periodic with $f_0 \ \underline {= 500 \ \ \rm kHz}$. | ||
'''(5)''' With $A = 2\pi f \cdot \tau_2$ and $B = 2\pi f \cdot \tau_3$ you get | '''(5)''' With $A = 2\pi f \cdot \tau_2$ and $B = 2\pi f \cdot \tau_3$ you get | ||
:$$|H(f)|^2 \hspace{-0.1cm} \ = \ \hspace{-0.1cm} H(f) \cdot H^{\star}(f)= | :$$|H(f)|^2 \hspace{-0.1cm} \ = \ \hspace{-0.1cm} H(f) \cdot H^{\star}(f)=\left [ \frac {3}{4} - \frac {1}{2} \cdot {\rm e}^{-{\rm j}A} + \frac {1}{4} \cdot {\rm e}^{-{\rm j}B}\right ]\left [ \frac {3}{4} - \frac {1}{2} \cdot {\rm e}^{{\rm j}A} + \frac {1}{4} \cdot {\rm e}^{{\rm j}B}\right ]$$ | ||
:$$\Rightarrow \hspace{0.3cm} |H(f)|^2 \hspace{-0.1cm} \ = \ \hspace{-0.1cm} \frac {9}{16 }- \frac {3 {\rm e}^{{\rm j}A}}{8} +\frac {3{\rm e}^{{\rm j}B}}{16}- \frac {3{\rm e}^{-{\rm j}A}}{8} +\frac {1}{4}- \frac {{\rm e}^{{\rm j}(B-A)}}{8} +\frac {3{\rm e}^{-{\rm j}B}}{16}- \frac {{\rm e}^{{\rm j}(A-B)}}{8} +\frac{1}{16 }=$$ | |||
:$$\hspace{2.1cm} \ = \ \hspace{-0.1cm}\frac {7}{8 }- \frac {3}{8} \cdot \left [ {\rm e}^{{\rm j}A} + {\rm e}^{-{\rm j}A}\right ]+\frac {3}{16} \cdot \left [ {\rm e}^{{\rm j}B} + {\rm e}^{-{\rm j}B}\right ]- \frac {1}{8} \cdot \left [ {\rm e}^{{\rm j}(B-A)} + {\rm e}^{-{\rm j}(B-A)}\right ]\hspace{0.05cm}.$$ | |||
$$\Rightarrow \hspace{0.3cm} |H(f)|^2 \hspace{-0.1cm} \ = \ \hspace{-0.1cm} \frac {9}{16}- \frac {3 {\rm e}^{{\rm j}A}}{8} +\frac {3{\rm e}^{{\rm j}B}}{16} | |||
:$$\hspace{2.1cm} \ = \ \hspace{-0.1cm}\frac {7}{8}- \frac {3}{8} \cdot \left [ {\rm e}^{{\rm j}A} + {\rm e}^{-{\rm j}A}\right ] | |||
\frac {3}{16} \cdot \left [ {\rm e}^{{\rm j}B} + {\rm e}^{-{\rm j}B}\right ]- \frac {1}{8} \cdot \left [ {\rm e}^ | |||
Using [[Signal_Representation/Calculating_with_Complex_Numbers#Representation_by_magnitude_and_phase|Euler's theorem]], with consideration of the frequency periodicity, this results in | |||
:$$|H(f)|= \sqrt{\frac {7}{8 }- \frac {3}{4} \cdot \cos( 2 \pi f \tau_2) + | :$$|H(f)|= \sqrt{\frac {7}{8 }- \frac {3}{4} \cdot \cos( 2 \pi f \tau_2) +\frac {3}{8} \cdot \cos( 2 \pi f \tau_3)- \frac {1}{4} \cdot \cos( 2 \pi f (\tau_3 - \tau_2))}$$ | ||
\frac {3}{8} \cdot \cos( 2 \pi f \tau_3)- \frac {1}{4} \cdot \cos( 2 \pi f (\tau_3 - \tau_2))}$$ | :$$\Rightarrow \hspace{0.3cm} |H(f = 0)|\hspace{-0.1cm} \ = \ \hspace{-0.1cm} \sqrt{\frac {7}{8 }- \frac {3}{4} +\frac {3}{8} - \frac {1}{4} } = \sqrt{0.25}\hspace{0.1cm} \underline {= 0.5} = |H(f = 500\,{\rm kHz})|$$ | ||
$$\Rightarrow \hspace{0.3cm} |H(f = 0)|\hspace{-0.1cm} \ = \ \hspace{-0.1cm} \sqrt{\frac {7}{8}- \frac {3}{4} + | :$$|H(f = 250\,{\rm kHz})|\hspace{-0.1cm} \ = \ \hspace{-0.1cm} \sqrt{\frac {7}{8 }- \frac {3}{4} \cdot \cos( \pi ) +\frac {3}{8} \cdot \cos( 5 \pi )- \frac {1}{4} \cdot \cos( 4 \pi )} \hspace{0.1cm} \underline {= 1}\hspace{0.05cm}.$$ | ||
\frac {3}{8} - \frac {1}{4} } = \sqrt{0.25}\hspace{0.1cm} \underline {= 0.5} = |H(f = 500\,{\rm kHz})|$$ | |||
:$$|H(f = 250\,{\rm kHz})|\hspace{-0.1cm} \ = \ \hspace{-0.1cm} \sqrt{\frac | |||
\frac {3}{8} \cdot \cos( 5 \pi )- \frac {1}{4} \cdot \cos( 4 \pi )} \hspace{0.1cm} \underline {= 1}\hspace{0.05cm}.$$ | |||
'''(6)''' | '''(6)''' At $f = 250 \ \rm kHz$, the frequency response is | ||
[[File:P_ID2162__Mob_A_2_3e.png|right|frame|Amplitude frequency response for three-way channel]] | [[File:P_ID2162__Mob_A_2_3e.png|right|frame|Amplitude frequency response for three-way channel]] | ||
$$H(f = 250\,{\rm kHz})= k_1 + k_2 \cdot {\rm e}^{-{\rm j}\cdot \pi}+ k_3 \cdot {\rm e}^{-{\rm j}\cdot 5\pi} = k_1 - k_2 - k_3 | :$$H(f = 250\,{\rm kHz})= k_1 + k_2 \cdot {\rm e}^{-{\rm j}\cdot \pi}+ k_3 \cdot {\rm e}^{-{\rm j}\cdot 5\pi} = k_1 - k_2 - k_3\hspace{0.05cm}.$$ | ||
If you now | If you now substitute | ||
:$$k_3 = k_1 - k_2 = 0.75 + 0.50\hspace{0.1cm} \underline {= 1.25}\hspace{0.05cm},$$ | :$$k_3 = k_1 - k_2 = 0.75 + 0.50\hspace{0.1cm} \underline {= 1.25}\hspace{0.05cm},$$ | ||
the result is $|H(f = 250 \ \rm kHz)| = 0$ and thus the most unfavorable value for this signal frequency. | the result is $|H(f = 250 \ \rm kHz)| = 0$ and thus the most unfavorable value for this signal frequency. | ||
The graph shows $|H(f)|$ in the range between $0$ and $500 \ \rm kHz$: | The graph shows $|H(f)|$ in the range between $0$ and $500 \ \rm kHz$: | ||
*The blue curve | *The blue curve corresponds to $k_3 = 0.25$ according to the specifications of task '''(4)'''. | ||
*The red curve | *The red curve corresponds to $k_3 = 1.25$, the most unfavourable value for $f = 250 \ \rm kHz$. | ||
{{ML-Fuß}} | {{ML-Fuß}} | ||
[[Category: | [[Category:Mobile Communications: Exercises|^2.2 Multi-Path Reception in Wireless Systems^]] | ||
[[de:Exercises:Exercise_2.3:_Yet_Another_Multi-Path_Channel]] | |||
Latest revision as of 15:30, 16 March 2026

We consider a multipath channel, which is characterized by the following impulse response:
- $$h(\tau, \hspace{0.05cm} t) = h(\tau) = \sum_{m = 1}^{M} k_m \cdot \delta( \tau - \tau_m)\hspace{0.05cm}.$$
All coefficients $k_{m}$ are real (positive or negative). Furthermore, we note:
- From the specification $h(\tau, \hspace{0.05cm}t) = h(\tau)$ you can see that the channel is time–invariant.
- Generally, the channel has $M$ paths. The value of $M$ should be determined from the graph.
- The following relations apply to the delay times: $\tau_1 < \tau_2 < \tau_3 < \ \text{...}$.
The graph shows the output signal $r(\tau)$ of the channel when the following transmitted signal is present at the input (shown in the equivalent low-pass range):
- $$s(\tau) = \left\{ \begin{array}{c} s_0\\0 \end{array} \right.\quad\begin{array}{*{1}c} 0 \le \tau < 5\,{\rm µ s},\\ {\rm otherwise}. \\ \end{array}$$
We want to find the corresponding impulse response $h(\tau)$ as well as the transfer function $H(f)$.
Notes:
- This task refers to the chapter Multi–Path Reception in Mobile Communications.
- For the solution of subtask (1) assume that the impulse response $h(\tau)$ has a span of five microseconds.
Questionnaire
Solution
The sketched output signal $r(\tau)$ can only result if
- $\tau_1 = 0$ $($otherwise $r(\tau)$ would not start at $\tau = 0)$,
- $\tau_M = 10 \ \rm µ s$ $($this results in the rectangular section between $10 \ \rm µ s$ and $15 \ \ \rm µ s)$,
- there is another Dirac function at $\tau_2 = 2 \ \rm µ s$ between the two.
That means: The impulse response here consists of $\underline {M = 3}$ Dirac functions.
(2) As already calculated in the first subtask, one gets
- $$\tau_1 \hspace{0.1cm} \underline {= 0}\hspace{0.05cm},\hspace{0.2cm}\tau_2 \hspace{0.1cm} \underline {= 2\,{\rm µ s}}\hspace{0.05cm},\hspace{0.2cm}\tau_3 \hspace{0.1cm} \underline {= 10\,{\rm µ s}}\hspace{0.05cm}.$$
(3) If you compare input $s(\tau)$ and output $r(\tau)$, you will get the following results:
- Interval $0 < \tau < 2 \ {\rm µ s} \text{:} \, s(\tau) = s_0, \hspace{1cm} r(\tau) = 0.75 \cdot s_0 \,\,\Rightarrow\,\, k_1 \ \underline {= 0.75}$,
- Interval $2 \ {\rm µ s} < \tau < 5 \ {\rm µ s} \text{:} \, \hspace{2.45cm} r(\tau) =(k_1 + k_2) \cdot s_0 = 0.25 \cdot s_0 \Rightarrow k_2 \ \underline {= \, -0.50}$,
- Interval $10 \ {\rm µ s} < \tau < 15 \ {\rm µ s} \text{:} \, \hspace{1.99cm} r(\tau) =k_3 \cdot s_0 = 0.25 \cdot s_0 \,\Rightarrow\, k_3 \ \underline {= 0.25}$.
(4) Using the time–shifting property, the Fourier transform of the impulse response $h(\tau)$ is:
- $$h(\tau) = k_1 \cdot \delta( \tau) + k_2 \cdot \delta( \tau - \tau_2)+ k_3 \cdot \delta( \tau - \tau_3) \hspace{0.3cm}\Rightarrow \hspace{0.3cm}H(f) = k_1 + k_2 \cdot {\rm e}^{- {\rm j}\cdot 2 \pi f \tau_2}+ k_3 \cdot {\rm e}^{- {\rm j}\cdot 2 \pi f \tau_3}\hspace{0.05cm}. $$
Analysis of the individual contributions leads to the following conclusion:
- The first part is constant ⇒ periode $f_1 → ∞$..
- The second part is periodic with $f_2 = 1/\tau_2 = 500 \ \rm kHz$.
- The third part is periodic with $f_3 = 1/\tau_3 = 100 \ \rm kHz$.
⇒ $H(f)$ is thus periodic with $f_0 \ \underline {= 500 \ \ \rm kHz}$.
(5) With $A = 2\pi f \cdot \tau_2$ and $B = 2\pi f \cdot \tau_3$ you get
- $$|H(f)|^2 \hspace{-0.1cm} \ = \ \hspace{-0.1cm} H(f) \cdot H^{\star}(f)=\left [ \frac {3}{4} - \frac {1}{2} \cdot {\rm e}^{-{\rm j}A} + \frac {1}{4} \cdot {\rm e}^{-{\rm j}B}\right ]\left [ \frac {3}{4} - \frac {1}{2} \cdot {\rm e}^{{\rm j}A} + \frac {1}{4} \cdot {\rm e}^{{\rm j}B}\right ]$$
- $$\Rightarrow \hspace{0.3cm} |H(f)|^2 \hspace{-0.1cm} \ = \ \hspace{-0.1cm} \frac {9}{16 }- \frac {3 {\rm e}^{{\rm j}A}}{8} +\frac {3{\rm e}^{{\rm j}B}}{16}- \frac {3{\rm e}^{-{\rm j}A}}{8} +\frac {1}{4}- \frac {{\rm e}^{{\rm j}(B-A)}}{8} +\frac {3{\rm e}^{-{\rm j}B}}{16}- \frac {{\rm e}^{{\rm j}(A-B)}}{8} +\frac{1}{16 }=$$
- $$\hspace{2.1cm} \ = \ \hspace{-0.1cm}\frac {7}{8 }- \frac {3}{8} \cdot \left [ {\rm e}^{{\rm j}A} + {\rm e}^{-{\rm j}A}\right ]+\frac {3}{16} \cdot \left [ {\rm e}^{{\rm j}B} + {\rm e}^{-{\rm j}B}\right ]- \frac {1}{8} \cdot \left [ {\rm e}^{{\rm j}(B-A)} + {\rm e}^{-{\rm j}(B-A)}\right ]\hspace{0.05cm}.$$
Using Euler's theorem, with consideration of the frequency periodicity, this results in
- $$|H(f)|= \sqrt{\frac {7}{8 }- \frac {3}{4} \cdot \cos( 2 \pi f \tau_2) +\frac {3}{8} \cdot \cos( 2 \pi f \tau_3)- \frac {1}{4} \cdot \cos( 2 \pi f (\tau_3 - \tau_2))}$$
- $$\Rightarrow \hspace{0.3cm} |H(f = 0)|\hspace{-0.1cm} \ = \ \hspace{-0.1cm} \sqrt{\frac {7}{8 }- \frac {3}{4} +\frac {3}{8} - \frac {1}{4} } = \sqrt{0.25}\hspace{0.1cm} \underline {= 0.5} = |H(f = 500\,{\rm kHz})|$$
- $$|H(f = 250\,{\rm kHz})|\hspace{-0.1cm} \ = \ \hspace{-0.1cm} \sqrt{\frac {7}{8 }- \frac {3}{4} \cdot \cos( \pi ) +\frac {3}{8} \cdot \cos( 5 \pi )- \frac {1}{4} \cdot \cos( 4 \pi )} \hspace{0.1cm} \underline {= 1}\hspace{0.05cm}.$$
(6) At $f = 250 \ \rm kHz$, the frequency response is

- $$H(f = 250\,{\rm kHz})= k_1 + k_2 \cdot {\rm e}^{-{\rm j}\cdot \pi}+ k_3 \cdot {\rm e}^{-{\rm j}\cdot 5\pi} = k_1 - k_2 - k_3\hspace{0.05cm}.$$
If you now substitute
- $$k_3 = k_1 - k_2 = 0.75 + 0.50\hspace{0.1cm} \underline {= 1.25}\hspace{0.05cm},$$
the result is $|H(f = 250 \ \rm kHz)| = 0$ and thus the most unfavorable value for this signal frequency.
The graph shows $|H(f)|$ in the range between $0$ and $500 \ \rm kHz$:
- The blue curve corresponds to $k_3 = 0.25$ according to the specifications of task (4).
- The red curve corresponds to $k_3 = 1.25$, the most unfavourable value for $f = 250 \ \rm kHz$.