Digital Signal Processing Reference
In-Depth Information
C
3
ω
3
(1
− α
3,1
) (1
− α
3,2
)(1
− α
3,3
)
h
(
ω
)
≈
×
1
−
ωτ
0
α
3,1
− e
−
ωτ
0
α
3,2
− e
−
ωτ
0
α
3,3
−e
,
−
ωτ
0
(
α
3,1
+
α
3,2
)
+
e
−
ωτ
0
(
α
3,2
+
α
3,3
)
+
e
−
ωτ
0
(
α
3,1
+
α
3,3
)
e
−
ωτ
0
(
α
3,1
+
α
3,2
+
α
3,3
)
−e
(5.5)
where the term 1
/ω
3
is a third-order low-pass filter. We deduce that the
equivalent filter is
1
(
ω
)=
1
ω
3
′∗
h
×
1
−e
ωτ
0
α
3,1
− e
ωτ
0
α
3,2
− e
ωτ
0
α
3,3
e
ωτ
0
(
α
3,1
+
α
3,2
)
+
e
ωτ
0
(
α
3,2
+
α
3,3
)
+
e
ωτ
0
(
α
3,1
+
α
3,3
)
−e
ωτ
0
(
α
3,1
+
α
3,2
+
α
3,3
)
.
(5.6)
Figure 5.1 illustrates the implementation of the third-order differential array.
It can be verified that the beampattern of the beamformer
h
′
(
ω
) is
3
(
ω
)
,θ
]=
1
ω
3
1
− e
ωτ
0
(cos
θ − α
3,n
)
′
B
[
h
,
(5.7)
n=1
which can be approximated as the frequency-independent second-order di-
rectional pattern:
3
(
ω
)
,θ
]
≈
C
3
′
B
[
h
(cos
θ − α
3,n
)
.
(5.8)
n=1
Figures 5.2, 5.3, and 5.4 display the patterns from (5.7), of Case 1, Case 2,
and Case 3, respectively, for several frequencies and two values of
δ
.
The white noise gain is
1
Notice that this filter is noncausal for
Α
3,1
>
0 or
Α
3,2
>
0 or
Α
3,3
>
0. In this situation,
a processing delay has to be added.
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