參數(shù)資料
型號(hào): ZFBLEWP
英文描述: ZF-BLE Joint Detection for TD-SCDMA
中文描述: 迫零線性均衡的聯(lián)合檢測(cè)的TD - SCDMA
文件頁(yè)數(shù): 15/20頁(yè)
文件大?。?/td> 316K
代理商: ZFBLEWP
15
If
G
is a square matrix, then
M
=
G
-1
is a square right circulant matrix, then [4]
h
(ka)
=
D
*
L
m
D
e
m
(ka)
= IFFT(
L
m
FFT(
e
m
(ka)
))
(27)
= IFFT(FFT(
e
m
(ka)
)/.Diag(
L
m
) )
(28)
4.2.
Computation of the Whitening Matched Filter
From the previous analysis, it is known that the estimated data vector can be written as
e
R
A
A
R
A
d
1
n
H
1
1
n
H
)
(
=
= (
A
H
R
n
-1
A
)
-1
d
MF
(29)
where
R
n
=
R
d
U
R
t
=
R
d
U
I
and
d
MF
=
A
H
R
n
output.
The key to compute the whitening match filter output is to estimate the spatial covariance
matrix
R
d
-1
e
is the whitening matched filter
[
R
d
]
i,j
=
S
p=1
M
(
n
p
(i)
n
p
(i)*
)/Μ = (
n
(i)
n
(j)H
)/Μ
i,j = 1,2,…., Ka; M=NQ+W-1.
(30)
We estimate the spatial covariance matrix based on the noise detected from the data field
of the slot. There are total NQ+W-1 noise samples in each data field.
Suppose that:
R
n -1
=
R
d-1
U
R
t -1
=
R
d -1
U
I=
α
11
,
α
12
,…….
α
1Ka
α
21
,
α
22
,…….
α
2Ka
α
Ka,1
,
α
Ka,2
,…….
α
Ka,Ka
U
I
Ka
Ka
NQ+W-1
NQ+W-1
Figure 4-2 Estimation of the Spatial Covariance Matrix
We have
]
'
,....,
'
,
'
[
]
,.....,
[
(Ka)H
(2)H
(1)H
1
d
(Ka)H
(2)H
(1)H
1
n
H
A
A
A
I
R
A
A
A
R
A
=
=
(31
)
Where
A
(ka)H
=
S
i=1
Then:
Ka
α
i,ka
A
(ka)H
A
H
R
n
-1
e
=
S
ka=1
Ka
A
(ka)H
e
(ka)
(32)
Maximum ratio combining
F
Freescale Semiconductor, Inc.
For More Information On This Product,
Go to: www.freescale.com
n
.
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