Simulink Tutorial on Digital Modulation Methods - Cengage Learning
Simulink Tutorial on Digital Modulation Methods - Cengage Learning Simulink Tutorial on Digital Modulation Methods - Cengage Learning
632 CHAPTER 13. SIMULINK TUTORIAL ON DIGITAL MODULATION Problems 13.1 Show that additive white Gaussian noise remains white after sampling if a squareroot raised-cosine receive filter is used. 13.2 BPSK requires estimation of the carrier phase at the receiver. Show analytically what is the effect of a carrier-phase offset ϕ, i.e., demodulation with 2cos(2πfct + ϕ). 13.3 In Section 1.3.2 differential phase-shift keying was introduced as a method to enable detection without carrier-phase estimation. Build a
PROBLEMS 633 filter are limited in time to a duration of 12T. Determine the overall delay of the transmission system. Verify your solution in the respective
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PROBLEMS 633<br />
filter are limited in time to a durati<strong>on</strong> of 12T. Determine the overall delay of the transmissi<strong>on</strong><br />
system. Verify your soluti<strong>on</strong> in the respective <str<strong>on</strong>g>Simulink</str<strong>on</strong>g> model.<br />
13.12 Derive the bit error probability for QPSK with Gray mapping and for QPSK<br />
with natural mapping. Create a <str<strong>on</strong>g>Simulink</str<strong>on</strong>g> model and try to verify the analytical results<br />
via simulati<strong>on</strong>.<br />
13.13 It can be shown that the symbol error probability of M-PSK for E/N 0 ≫ 1—the<br />
so-called asymptotic symbol error probability— can be approximated by<br />
⎛�<br />
�<br />
⎜<br />
�<br />
�<br />
Pe ≈ 2Q ⎝<br />
d2<br />
minE ⎞<br />
⎟<br />
⎠ .<br />
2N0<br />
Here<br />
d =|s1 − s2| (s1 and s2 are signal c<strong>on</strong>stellati<strong>on</strong> points)<br />
denotes the Euclidian distance between two signal c<strong>on</strong>stellati<strong>on</strong> points <strong>on</strong> the unit circle<br />
and dmin is the minimum Euclidean distance between two points of the c<strong>on</strong>stellati<strong>on</strong>.<br />
Give the asymptotic difference of the SNR E/N0 in dB between the curves of the<br />
symbol error for 2–, 4– and 8–PSK, respectively! How do the curves change if plotted<br />
versus the SNR Eb/N0 per transmitted informati<strong>on</strong> bit? Create a <str<strong>on</strong>g>Simulink</str<strong>on</strong>g> model and<br />
try to verify the analytical results via simulati<strong>on</strong>.<br />
13.14 C<strong>on</strong>sider QAM with the following signal-space c<strong>on</strong>stellati<strong>on</strong> points:<br />
sm ∈{±1 ± j, ±2 ± j2, ±1 ± j2, ±2 ± j1}.<br />
1. Sketch the signal-space c<strong>on</strong>stellati<strong>on</strong>. What can you observe?<br />
2. How many informati<strong>on</strong> bits can be transmitted in <strong>on</strong>e symbol?<br />
3. The transmitted bits are often of different significance. For example, if we transmit<br />
sampled values then the sign bit is of greater importance then the least significant<br />
bit (LSB). Hence, it is efficient to protect the bits unequally against transmissi<strong>on</strong><br />
errors. Determine a mapping rule for informati<strong>on</strong> bits to symbols such<br />
that the first two bits of each symbol are better protected then the following bits.<br />
Add the result to your signal c<strong>on</strong>stellati<strong>on</strong> plot of (a).<br />
4. Calculate the average energy E per symbol for equally likely informati<strong>on</strong> bits.<br />
For pulse shaping, we use a rectangular pulse with amplitude A (during the whole<br />
symbol durati<strong>on</strong>).<br />
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