4. Nyquist Criterion for Distortionless Baseband Binary Transmission Objective: To design hT (t ) and hd (t ) under the following two conditions: (a). There is no ISI at the sampling instants (Nyquist criterion, this section ). (b). A controlled amount of ISI is allowed (correlative coding, next section)
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Design of Bandlimited Signals for Zero ISI - Nyquist criterion Recall the output of the receiving filter, sampled at t = kT, is given by y (kT ) = µbk + µ bn p( kT − nT ) + no (kT )
∑ n≠ k
Thus, in time domain, a sufficient condition for µp(t) such that it is ISI free is
1 p ( nT ) = 0
n=0 n≠0
(1)
Question. What is the condition for P(f) in order for p(t) to satisfy (1) (Nyquist, 1928)? @G. Gong
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Theorem. (Nyquist) A necessary and and sufficient condition for p(t) to satisfy (1) is that the Fourier transform P(f) satisfies
∑ n
n P( f − ) = T T
(2)
This is known as the Nyquist pulse-shaping criterion or Nyquist condition for zero ISI. Proof.
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Proof. When we sample p (t ) at On the other hand t = kT , k = 0, ± 1, ± 2,L , Pδ ( f ) = p (kT ) F (δ (t − kT )) we have the following pulses k pδ (t ) ≡ p(t ) δ (t − kT ) ( p(kT ) is constant for t.)
∑
∑ k
=
∑ p(kT )δ (t − kT ) k
The Fourier transform of pδ (t ) is given by Pδ ( f ) = F ( pδ (t )) = F p ( kT )δ (t − kT ) k
∑
1 = T
∑ k
k P( f − ) T
( 3)
= ∑ p(kT ) exp(− j 2πfkT ) k
= 1 ( from (1) ) ( 4) From (3) and (4), ISI free ⇔ 1 T
∑ k
k P( f − ) = 1 T
which gives the result in (2).
Investigate possible pulses which satisfy the Nyquist criterion Suppose that the channel has a bandwidth of W, then H c ( f ) = 0 for | f |> W
Since
P( f ) = H T ( f ) H c ( f ) H d ( f ) , we have
P ( f ) = 0 for | f |> W We write Z ( f ) = ∑ P ( f − n / T ) n
and distinguish the following three cases:
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Z(f)
-1/T-W
-1/T -1/T+W -W
W
1/T-W 1/T
1/T+W
f
Fig. 4.1 Z(f) for the case T < 1/(2W) Z(f)
W=
-1/T
1 2T
1/T
f
Fig. 4.2 Z(f) for the case T = 1/(2W) Z(f)
-1/T
-W
1/T-W W 1/T
-1/T+W
Fig. 4.3 Z(f) for the case T > 1/(2W)
f
T<
1 2W
T=
1 2W
1 > 2W T
1. , or (i.e., bit rate > 2W, impossible!) No choices for P(f) such that Z(f) = 0. 2.
, i.e.,
W=
1 2T
(the Nyquist rate)
In this case, if we choose T P( f ) = 0
which results in
| f| ≤ W otherwise
i.e.,
f P ( f ) = T ⋅ rect 2 W
t p (t ) = sin c T
This means that the smallest value of T for which the transmission with zero ISI is possible is T=
1 2W
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(
R≡
1 = 2W, T
bit rate )
This is called the ideal Nyquist channel. 7
In other words,
Ideal Nyquist channel : 1 R = 2 Bo = T W = Bo ( R = Rb , T = Tb )
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Disadvantages: (a) an ideal LPF is not physically realizable. (a) Note that 1 t p (t ) = sin c ∝ T |t |
Thus, the rate of convergence to zero is slow since the tails of p(t) decay as 1/|t|. Hence, a small mistiming error in sampling the output of the matched filter at the demodulator results in an infinite series of ISI components.
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1 T> 2W
1 < 2W T
3. For , i.e, , in this case, there exists numerous choices for P(f) such that Z(f) = T. The important one is so called the raised cosine spectrum. The raised cosine frequency characteristic is given by 1 2B 0 1 P( f ) = 4 B0 0
0 ≤ f < (1 − α ) B0 π (| f | −(1 − α ) B0 ) 1 + cos (1 − α ) B0 ≤ f < (1 + α ) B0 2αB0 f ≥ (1 + α ) B0
where α ∈ [0,1] is called the rolloff factor and ( i.e.,
B0 =
@G. Gong
1 2T
) .
B0 =
R 2
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1 2B0 − B0 B0 − (1 + α ) B0 − (1 − α )B0 (1 − α ) B0 (1 + α ) B0
Z(f) = T by the following sum of three at any interval of length 2Bo:
P( f ) + P( f − 2 B0 ) + P ( f + 2 B0 ) = T P( f ) + P( f − 2 B0 ) + P( f + 2 B0 ) = T …
− B0 ≤ f ≤ B0 B0 ≤ f ≤ 3B0
f
The time response p(t), the inverse Fourier transform of P(f), is given by
cos2παB0t p (t ) = sinc 2 B0t 2 2 2 1 − 16α B0 t
(5)
This function has much better convergence property than the ideal Nyquist channel. The first factor in (5) is associated with the ideal filter, and the second factor that decreases as 1/|t|2 for large |t|. Thus
1 p (t ) ∝ 3 t @G. Gong
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Summary:
Nyquist Criteria +∞
1 P ( f − nR) = T , R = ∑ T n = −∞
-Bo
Bo
Ideal Nyquist Channel Raised Cosine Spectrum
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