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327-Assignment-1-solns 1

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School of Engineering Science, Simon Fraser University
ENSC327 Communication Systems – Spring 2020
Assignment 1
Important Notes:
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zero. The goal is to get everyone to do the work themselves so that each individual benefits by testing their
understanding with these questions.
1. (Fourier Transform Practice): The magnitude and the phase of the Fourier transform of a signal are
plotted in figure 1. Find the signal in time domain.
|X (f) |
6
4
-40
πœ‹πœ‹
2
-10
10
40
f
40
f
<X (f)
-40
-10
10
πœ‹πœ‹
-2
Figure 1
SOLUTION: X(f) = 4 δ(f +10) + 4 δ(f -10)
+ 6 δ(f+40) 𝑒𝑒 𝑗𝑗𝑗𝑗/2 +6 δ(f-40) 𝑒𝑒 −𝑗𝑗𝑗𝑗/2
1
1
= 8[ δ (f + 10) + δ (f - 10) ]
2
1
2
1
+ 12 [ 𝑗𝑗 δ (f +40) - 𝑗𝑗 δ (f - 40)]
2
2
x(t) = 8 cos 2π 10t + 12 sin 2π 40t
2. (Fourier Transform Properties) Find the Fourier transform of the signal 𝑦𝑦(𝑑𝑑) =
8 π‘₯π‘₯(𝑑𝑑) sin(2πœ‹πœ‹ 𝑓𝑓1 𝑑𝑑) sin(2πœ‹πœ‹ 𝑓𝑓2 𝑑𝑑) in terms of the Fourier transform of x(t).
1
SOLUTION: We know if β„± { x (t) } = X (f), then β„± { x (t) cos(2 πœ‹πœ‹ 𝑓𝑓0 𝑑𝑑) } = [X (f - 𝑓𝑓0 ) + X (f + 𝑓𝑓0 ) ]
1
We also have: sinA sinB = [cos (A − B) − cos (A + B)]
2
2
Applying the trig identity to y(t): y(t) = 4x(t) cos (2πœ‹πœ‹ [𝑓𝑓1 − 𝑓𝑓2 ] t ) - 4x(t) cos (2πœ‹πœ‹ [𝑓𝑓1 + 𝑓𝑓2 ] t)
Then Fourier Transform:
Y(f) = 2 [X (f – [π’‡π’‡πŸπŸ − π’‡π’‡πŸπŸ ]) + X (f + [π’‡π’‡πŸπŸ − π’‡π’‡πŸπŸ ]) - X (f - [π’‡π’‡πŸπŸ + π’‡π’‡πŸπŸ ]) - X (f + [𝐟𝐟𝟏𝟏 + π’‡π’‡πŸπŸ ])]
3. (Fourier Transform Properties) Show that sinc(t) * sinc(t) = sinc(t) where * is the convolution
operator.
SOLUTION: We know that : β„± { sinc(t) } = rect (f)
Where:
rect(f) = {1
0
|f| <= 0.5
Otherwise
we also have : rect (f) . rect (f) = rect (f)
β„± −1 {rect(f) . rect(f)} = β„± −1 rect (f)
Therefore, sinc (t) * sinc (t) = sinc(t).
4. (AM Modulator Signal Parameter Estimation) The signal π‘šπ‘š(𝑑𝑑) = cos(2πœ‹πœ‹ π‘“π‘“π‘šπ‘š 𝑑𝑑) is applied to an AM
modulator and the output y(t) is depicted in the figure 2. We know that y(t) is the in the following form:
𝑦𝑦(𝑑𝑑) = 𝐴𝐴𝑐𝑐 [1 + π‘˜π‘˜π‘Žπ‘Ž π‘šπ‘š(𝑑𝑑)] cos(2πœ‹πœ‹ 𝑓𝑓𝑐𝑐 𝑑𝑑)
Find 𝐴𝐴𝑐𝑐 , π‘˜π‘˜π‘Žπ‘Ž , π‘“π‘“π‘šπ‘š , 𝑓𝑓𝑐𝑐
Figure 2
SOLUTION: Based on the figure, we have:
Max: Ac [1 + Ka] = 3.4
Min: Ac [1 – Ka] = 0.6
Therefore, Max/Min = (1 + Ka) / (1 – Ka) = 3.4/0.6
0.6+0.6K = 3.4-3.4K
4K = 3.4-0.6=2.8
Using simple algebra, Ka = 2.8/4 = 7/10 or 0.7 and Ac = 3.4/(1+0.7) = 2
1/fc = 0.025 ms fc = 1/0.025= 40 KHz
1/fm = 0.25 ms
fm = 1/0.25 ~= 4 KHz
5. (AM Power efficiency) The following periodic message signal m(t) with period T is applied to an AM
modulator. Find out its power efficiency when amplitude sensitivity π‘˜π‘˜π‘Žπ‘Ž = 0.3, 0.5, and 1, respectively.
2
…
…
T/2
0
t
T
-2
SOLUTION: Power efficiency = π‘˜π‘˜π‘Žπ‘Ž2 π‘ƒπ‘ƒπ‘šπ‘š /(1 + π‘˜π‘˜π‘Žπ‘Ž2 π‘ƒπ‘ƒπ‘šπ‘š )
1
𝑇𝑇
2
𝑇𝑇/2
Pm = ∫0 π‘šπ‘š(𝑑𝑑)2 𝑑𝑑𝑑𝑑 = ∫0
𝑇𝑇
π’Œπ’Œπ’‚π’‚
0.3
0.5
1.0
𝑇𝑇
2
𝑇𝑇/2 2×2
π‘šπ‘š(𝑑𝑑)2 𝑑𝑑𝑑𝑑 = ∫0
𝑇𝑇
(
𝑇𝑇
4
𝑑𝑑)2 𝑑𝑑𝑑𝑑 = = 1.33
3
Power Efficiency
0.1069
0.2495
0.5708
6. (AM Signal Summary) An AM modulator has output:
𝑠𝑠(𝑑𝑑) = 4 𝑐𝑐𝑐𝑐𝑐𝑐(πœ‹πœ‹20𝑑𝑑) + 𝑐𝑐𝑐𝑐𝑐𝑐(πœ‹πœ‹30𝑑𝑑) + 𝑐𝑐𝑐𝑐𝑐𝑐(πœ‹πœ‹10𝑑𝑑)
Knowing that the message signal is of the form m(t) = A cos(2 πœ‹πœ‹ 𝑓𝑓0 𝑑𝑑)
(a) Find the carrier frequency, message frequency, and modulation factor.
(b) Find the power efficiency.
SOLUTION:
𝛼𝛼+𝛽𝛽
𝛼𝛼−𝛽𝛽
(a) Using: cos 𝛼𝛼 + cos 𝛽𝛽 = 2 cos(
) cos
2
2
𝑠𝑠(𝑑𝑑) = 4 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹10𝑑𝑑) + 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹15𝑑𝑑) + 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹5𝑑𝑑)
15 − 5
15 + 5
𝑑𝑑� 𝑐𝑐𝑐𝑐𝑐𝑐 οΏ½2πœ‹πœ‹
𝑑𝑑��
= 4 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹10𝑑𝑑) + 2 �𝑐𝑐𝑐𝑐𝑐𝑐 οΏ½2πœ‹πœ‹
2
2
= 4 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹10𝑑𝑑) + 2 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹10𝑑𝑑) 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹5𝑑𝑑)
= 4[1 + 0.5 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹5𝑑𝑑)] 𝑐𝑐𝑐𝑐𝑐𝑐(2πœ‹πœ‹10𝑑𝑑)
Therefore, carrier frequency, message frequency, and modulation factor are 10 Hz, 5 Hz and 0.5,
respectively.
πœ‡πœ‡ 2
(b) Power Efficiency = 2+πœ‡πœ‡2 ,
(0.5)2
⇒ Power Efficiency = 2+(0.5)2 = 0.11 = 11%
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