Digital Signal Processing Reference
In-Depth Information
V
λ Υ 1
1
0
Υ 1 Υ 1 V
Υ 1 =
U
Υ 1 =
U
Υ 1 .
(4.45)
Υ 1
λ Υ 1
2
0
Then ( 4.44 ) becomes
Υ 1 Υ 1 V
2
|
HU
1 |
= | λ Υ 1
) +| λ Υ 1
2
2
h 11 |
2
h 21 |
2
2
h 12 |
2
h 22 |
2
|
( |
+|
|
( |
+|
)
Υ
v h |
2
1
|
L
L
(4.46)
where
h 11
h 12
HU
Υ 1 =
.
(4.47)
h 21
h 22
Since the unitary matrix U
does not change the distribution of H , each element
Υ 1
Υ 1 , i.e., h ij , is also a Gaussian distributed random variable with mean 0 and
variance 1. As a result, ( 4.43 ) can be written as
of HU
| H
P
(
d
d
)
exp
4 L
1
2
( | λ Υ 1
1
2
h 11 |
2
h 21 |
2
|
cos
θ
hg |
|
( |
+|
)
2
+| λ Υ 1
2
2
h 12 |
2
h 22 |
2
|
( |
+|
)) | γ 1 + γ 2 |
.
(4.48)
Further, we have
P
(
d
d
)
E exp
4 L ( |
1
2
( | λ Υ 1
1
2
h 11 |
2
h 21 |
2
cos
θ
hg |
|
( |
+|
)
+| λ Υ 1
2
2
h 12 |
2
h 22 |
2
2
|
( |
+|
)) | γ 1 + γ 2 |
)
E E exp
4 L ( |
( | λ Υ 1
1
1
2
2
h 11 |
2
h 21 |
2
=
cos
θ
hg |
|
( |
+|
)
hg
+| λ Υ 1
2
2
h 12 |
2
h 22 |
2
2
1
|
( |
+|
)) | γ 1 + γ 2 |
)
| θ
1
E
(4.49)
j = 1 [
| λ Υ 1
j
+ ( 8 L |
1
2
2
2
2
1
cos
θ
hg |
|
| γ 1 + γ 2 |
) ]
At high SNRs, one can neglect the one in the denominator and get
|·| γ 1 + γ 2 | ) 4 E
8 L
4
2
1
1 ( | λ Υ 1
P
(
d
d
)
.
(4.50)
j
1
8
|
cos
θ
hg |
j
=
 
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