sm10_13

Prévia do material em texto

Problem 10.13. Determine the discrete-time autocorrelation function of the noise 
sequence {Nk} defined by Eq. (10.34) 
 
( ) ( )kN p kT t w t
∞
−∞= −∫ dt 
 
where w(t) is a white Gaussian noise process and the pulse p(t) corresponds to a root-
raised cosine spectrum. How are the noise samples corresponding to adjacent bit intervals 
related? 
 
Solution 
The autocorrelation function of the noise at samples spaced by T is 
 
 
[ ]
[ ]
0
( )
( ) ( ) (( ) ) ( )
( ) (( ) ) ( ) ( )
( ) (( ) ) ( )
2
N k k nR n N N
p kT t w t dt p k n T s w s ds
p kT t p k n T s w t w s dtds
Np kT t p k n T s t s dtdsδ
+
∞ ∞
−∞ −∞
∞ ∞
−∞ −∞
∞ ∞
−∞ −∞
=
⎡ ⎤= − ⋅ + −⎢ ⎥⎣ ⎦
= − + −
= − + − −
∫ ∫
∫ ∫
∫ ∫
E
E
E
 
 
where we have interchanged integration and expectation on the third line, and the fourth 
line follows from the uncorrelated properties of the white noise. We next apply the sifting 
property of the delta function to obtain 
 
0
0
0
( ) ( ) (( ) )
2
( ) ( ( ) )
2
( )
2
N
NR n p kT t p k n T t d
N
t
p kT t p t k n T dt
N nδ
∞
−∞
∞
−∞
= − + −
= − − +
=
∫
∫ 
 
where the second line follows from the even symmetry property of the raised cosine 
pulse, and third line follows from Eq. (10.32). Therefore, noise samples corresponding to 
adjacent bit intervals are not correlated. 
 
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