Simulink Tutorial on Digital Modulation Methods - Cengage Learning

Simulink Tutorial on Digital Modulation Methods - Cengage Learning Simulink Tutorial on Digital Modulation Methods - Cengage Learning

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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 ong>Simulinkong> model for binary differential phase-shift keying with NRZ rectangular pulses based on the BPSK model in Figure 13.2. Observe if error-free detection is possible in the case of carrier-phase offset. 13.4 Derive the effect of a carrier-phase-offset ϕ analytically in a QPSK system. 13.5 Derive the effect of a carrier-frequency-offset ∆f analytically in a QPSK system. 13.6 Another method to avoid diagonal transitions of the trajectory through the origin is differential π/4-QPSK. The information is coded in the phase difference of successive symbols according to ϕk = ϕk+1 + ∆ϕm where k is the time index and ∆ϕm = π π m + 2 4 where m = 0, 1, 2, 3 is the index of the transmit symbol. Show by an example that every other symbol is taken from a QPSK constellation that is phase-shifted by π/4 relative to the QPSK constellation of the previous symbol and therefore, transitions through the origin are avoided. 13.7 According to Figure 1.28 we obtain orthogonal signal waveforms for FSK if the frequency separation between the two signal waveforms is a multiple of 1/(2T). What is the advantage of choosing a frequency separation of 1/(2T)? 13.8 Show that Offset-QPSK with cosine pulses according to (13.8.2) has a constant envelope. Assume a delay of T between in-phase and quadrature component as in the Offset-QPSK representation of MSK. 13.9 Show that for NRZ rectangular pulses, an integrate and dump receiver yields the same output samples as a rectangular NRZ receive filter, i.e. the matched filter can be implemented as integrate and dump. 13.10 What is the design criterion for the receive filter which yields the matched filter solution? 13.11 Assume a transmission system with causal square-root raised-cosine pulse shaping and a matched filter receiver. Both the impulse responses of transmit and the receive © 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

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 ong>Simulinkong> model. 13.12 Derive the bit error probability for QPSK with Gray mapping and for QPSK with natural mapping. Create a ong>Simulinkong> model and try to verify the analytical results via simulation. 13.13 It can be shown that the symbol error probability of M-PSK for E/N 0 ≫ 1—the so-called asymptotic symbol error probability— can be approximated by ⎛� � ⎜ � � Pe ≈ 2Q ⎝ d2 minE ⎞ ⎟ ⎠ . 2N0 Here d =|s1 − s2| (s1 and s2 are signal constellation points) denotes the Euclidian distance between two signal constellation points on the unit circle and dmin is the minimum Euclidean distance between two points of the constellation. Give the asymptotic difference of the SNR E/N0 in dB between the curves of the symbol error for 2–, 4– and 8–PSK, respectively! How do the curves change if plotted versus the SNR Eb/N0 per transmitted information bit? Create a ong>Simulinkong> model and try to verify the analytical results via simulation. 13.14 Consider QAM with the following signal-space constellation points: sm ∈{±1 ± j, ±2 ± j2, ±1 ± j2, ±2 ± j1}. 1. Sketch the signal-space constellation. What can you observe? 2. How many information bits can be transmitted in one symbol? 3. The transmitted bits are often of different significance. For example, if we transmit sampled values then the sign bit is of greater importance then the least significant bit (LSB). Hence, it is efficient to protect the bits unequally against transmission errors. Determine a mapping rule for information bits to symbols such that the first two bits of each symbol are better protected then the following bits. Add the result to your signal constellation plot of (a). 4. Calculate the average energy E per symbol for equally likely information bits. For pulse shaping, we use a rectangular pulse with amplitude A (during the whole symbol duration). © 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

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 />

© 2013 <strong>Cengage</strong> <strong>Learning</strong>. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

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