Consider a baseband M-ary system using M discrete a mplitude levels. The receiver mofifll is as shown in Figure P4.27, the operation of which is governed by the following assumptions: Problems 305 (a) The signal component in the received wave is x £ m(t) = ; a, smc(T n) where 1/T is the signaling rate in bauds. (b) The amplitude levels are a, = *A/2, +34/2, ..., =(M — 1)A/2 if M is even, and 4, =0, *4,...,=(M— 1)A/2if Mis odd, * (c) The M levels ate equiprobable, and the symbols tranismitted in adjacent time slots are statistically independent. (d) The channel noise w(t) is white and Gaussian with zero mean and power spectral density No/2. () The low-pass filter is ideal with bandwidth B = 1/2T. (f) The threshold levels used in the decision device are 0, A4, ..., (M — 2)A/2 if M is even, and *4/2, *3A/2, ..., (M — 2)A/2 if M is odd. The average probability of symbol error in this system is defined by where o is the standard deviation of the noise at the input of the decision device. Dem- onstrate the validity of this general formula by derermining P, for the following three cases: M = 2, 3, 4. Low-pass il filter Output wli)

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4.27 Consider a baseband M-ary system using M discrete a mplitude levels. The receiver mofifll is as shown in Figure P4.27, the operation of which is governed by the following assumptions: Problems 305 (a) The signal component in the received wave is x £ m(t) = ; a, smc(T n) where 1/T is the signaling rate in bauds. (b) The amplitude levels are a, = *A/2, +34/2, ..., =(M — 1)A/2 if M is even, and 4, =0, *4,...,=(M— 1)A/2if Mis odd, * (c) The M levels ate equiprobable, and the symbols tranismitted in adjacent time slots are statistically independent. (d) The channel noise w(t) is white and Gaussian with zero mean and power spectral density No/2. () The low-pass filter is ideal with bandwidth B = 1/2T. (f) The threshold levels used in the decision device are 0, A4, ..., (M — 2)A/2 if M is even, and *4/2, *3A/2, ..., (M — 2)A/2 if M is odd. The average probability of symbol error in this system is defined by where o is the standard deviation of the noise at the input of the decision device. Dem- onstrate the validity of this general formula by derermining P, for the following three cases: M = 2, 3, 4. Low-pass il filter Output wli)
4.27 Consider a baseband M-ary system using M discrete amplitude levels. The receiver model
is as shown in Figure P4.27, the operation of which is governed by the following
assumptions:
Problems
305
(a) The signal component in the received wave is
m(t) = 2 a, sinc - n
where 1/T is the signaling rate in bauds.
(b) The amplitude levels are a, = ±A/2, ±3A/2,...,
an = 0, ±A, ..., ±(M- 1)A/2 if M is odd.
(c) The M levels are equiprobable, and the symbols transmitted in adjacent time slots are
statistically independent.
(d) The channel noise w(t) is white and Gaussian with zero mean and power spectral
density No/2.
(e) The low-pass filter is ideal with bandwidth B = 1/2T.
(f) The threshold levels used in the decision device are 0, ±A,..., ±(M- 2)A/2 if M
is even, and ±A/2, +3A/2, ..., ±(M 2)A/2 if M is odd.
The average probability of symbol error in this system is defined by
+(M
1)A/2 if M is even, and
A
erfc
2V20)
P, =
1
where o is the standárd deviation of the noise at the input of the decision device. Dem-
onstrate the validity of this general formula by determining P, for the following three
cases: M = 2, 3, 4.
Σ
Law-pass
filter
Decision-
device
m(e)
Output
w(1)
Throrhald
Transcribed Image Text:4.27 Consider a baseband M-ary system using M discrete amplitude levels. The receiver model is as shown in Figure P4.27, the operation of which is governed by the following assumptions: Problems 305 (a) The signal component in the received wave is m(t) = 2 a, sinc - n where 1/T is the signaling rate in bauds. (b) The amplitude levels are a, = ±A/2, ±3A/2,..., an = 0, ±A, ..., ±(M- 1)A/2 if M is odd. (c) The M levels are equiprobable, and the symbols transmitted in adjacent time slots are statistically independent. (d) The channel noise w(t) is white and Gaussian with zero mean and power spectral density No/2. (e) The low-pass filter is ideal with bandwidth B = 1/2T. (f) The threshold levels used in the decision device are 0, ±A,..., ±(M- 2)A/2 if M is even, and ±A/2, +3A/2, ..., ±(M 2)A/2 if M is odd. The average probability of symbol error in this system is defined by +(M 1)A/2 if M is even, and A erfc 2V20) P, = 1 where o is the standárd deviation of the noise at the input of the decision device. Dem- onstrate the validity of this general formula by determining P, for the following three cases: M = 2, 3, 4. Σ Law-pass filter Decision- device m(e) Output w(1) Throrhald
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